Computational Imaging & VisAnalysis

#335: Y. M. Kassim, K. Palaniappan, F. Yang, M. Poostchi, N. Palaniappan, R. J. Maude, S. Antani, and S. Jaeger

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

2020

Bibtex, PlainText, Software, URL, Google Scholar

@article{2020YasminCluster,
  author = "Y. M. Kassim and K. Palaniappan and F. Yang and M. Poostchi and N. Palaniappan and R. J. Maude and S. Antani and S. Jaeger",
  title = "Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears",
  year = 2020,
  url = "https://ieeexplore.ieee.org/document/9244549"
}

#283: M. Poostchi, I. Ersoy, K. McMenamin, E. Gordon, N. Palaniappan, S. Pierce, R. J. Maude, A. Bansal, P. Srinivasan, L. Miller, K. Palaniappan, G. Thoma, and S. Jaeger

Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy

Journal of Medical Imaging, Volume 5, pgs. 1-14, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{2018a,
  author = "M. Poostchi and I. Ersoy and K. McMenamin and E. Gordon and N. Palaniappan and S. Pierce and R. J. Maude and A. Bansal and P. Srinivasan and L. Miller and K. Palaniappan and G. Thoma and S. Jaeger",
  title = "Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy",
  year = 2018,
  journal = "Journal of Medical Imaging",
  publisher = "International Society for Optics and Photonics",
  volume = 5,
  number = 4,
  pages = "1-14",
  month = "Dec",
  doi = "10.1117/1.JMI.5.4.044506",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Malaria+parasite+detection+and+cell+counting+for+human+and+mouse+using+thin+blood+smear+microscopy&btnG="
}

M. Poostchi, I. Ersoy, K. McMenamin, E. Gordon, N. Palaniappan, S. Pierce, R. J. Maude, A. Bansal, P. Srinivasan, L. Miller, K. Palaniappan, G. Thoma, and S. Jaeger. Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy. Journal of Medical Imaging, International Society for Optics and Photonics, volume 5, issue 4, pages 1-14, December 2018.

#250: M. Poostchi, K. Palaniappan, and G. Seetharaman

Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery

IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pgs. 1-6, 2017

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{2017a,
  author = "M. Poostchi and K. Palaniappan and G. Seetharaman",
  title = "Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery",
  year = 2017,
  journal = "IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S)",
  pages = "1-6",
  month = "Aug",
  url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078504"
}

M. Poostchi, K. Palaniappan, and G. Seetharaman. Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery. IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pages 1-6, August 2017.

#246: M. Kristan, A. Leonardis, J. Matas, M. Felsberg, .., G. Seetharaman, K. Palaniappan, K. Gao, M. Poostchi, and e. al

The Visual Object Tracking VOT2017 challenge results

IEEE International Conference on Computer Vision Workshop (ICCVW), pgs. 1949-1972, 2017

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kristan2017:ICCVW_VOT2017,
  author = "M. Kristan and A. Leonardis and J. Matas and M. Felsberg and .. and G. Seetharaman and K. Palaniappan and K. Gao and M. Poostchi and e. al",
  title = "The Visual Object Tracking VOT2017 challenge results",
  year = 2017,
  journal = "IEEE International Conference on Computer Vision Workshop (ICCVW)",
  pages = "1949-1972",
  doi = "10.1109/ICCVW.2017.230",
  url = "https://ieeexplore.ieee.org/document/8265440"
}

M. Kristan, A. Leonardis, J. Matas, M. Felsberg, .., G. Seetharaman, K. Palaniappan, K. Gao, M. Poostchi, and e. al. The Visual Object Tracking VOT2017 challenge results. IEEE International Conference on Computer Vision Workshop (ICCVW), pages 1949-1972, 2017.

#241: Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude

CNN - Based Image Analysis for Malaria Diagnosis

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

deep learning, malaira, cells, classification, biomedical

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{2016a,
  author = "Z. Liang and S. Jaeger and G. Thoma and J. Huang and P. Guo and A. Powell and K. Silamut and I. Ersoy and M. Poostchi and K. Palaniappan and R. J. Maude",
  title = "CNN - Based Image Analysis for Malaria Diagnosis",
  year = 2016,
  journal = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  month = "Dec",
  keywords = "deep learning, malaira, cells, classification, biomedical"
}

Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude. CNN - Based Image Analysis for Malaria Diagnosis. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2016.

#230: K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman

Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2016

wami, tracking

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Poostchi_2016_ICPR_Tracking,
  author = "K. Palaniappan and M. Poostchi and H. Aliakbarpour and R. Viguier and J. Fraser and F. Bunyak and A. Basharat and S. Suddarth and E. Blasch and R. Rao and G. Seetharaman",
  title = "Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering",
  year = 2016,
  journal = "Proc. IEEE International Conference on Pattern Recognition (ICPR)",
  month = "Dec",
  keywords = "wami, tracking",
  url = "http://icpr2016.org/"
}

K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman. Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering. Proc. IEEE International Conference on Pattern Recognition (ICPR), December 2016.

#223: M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman

Semantic depth map fusion for moving vehicle detection in aerial video

Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pgs. 32-40, 2016

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Poostchi_2016_CVPR_Workshops,
  author = "M. Poostchi and H. Aliakbarpour and R. Viguier and F. Bunyak and K. Palaniappan and G. Seetharaman",
  title = "Semantic depth map fusion for moving vehicle detection in aerial video",
  year = 2016,
  journal = "Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops",
  pages = "32-40",
  month = "Jul",
  keywords = "wami, tracking, fmv, features, motion, image analysis",
  url = "http://www.cv-foundation.org//openaccess/content_cvpr_2016_workshops/w25/papers/Poostchi_Semantic_Depth_Map_CVPR_2016_paper.pdf"
}

M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman. Semantic depth map fusion for moving vehicle detection in aerial video. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 32-40, July 2016.

#218: M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi

The visual object tracking VOT2016 challenge results

European Conference on Computer Vision Workshop (ECCVW), pgs. 777--823, 2016

performance, evaluation, short-term, single-object trackers, vot

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor:ECCV_VOT_report,
author = "M. Kristan and A. Leonardis and J. Matas and M. Felsberg and R. Pflugfelder and L. Cehovin and T. Vojir and G. Häger and A. Lukezic and G. Fernandez and A. Gupta and A. Petrosino and A. Memarmoghadam and A. Garcia-Martin and A. S. Montero and A. Vedaldi and A. Robinson and A. J. Ma and A. Varfolomieiev and A. Alatan and A. Erdem and B. Ghanem and B. Liu and B. Han and B. Martinez and C.-M. Chang and C. Xu and C. Sun and D. Kim and D. Chen and D. Du and D. Mishra and D.-Y. Yeung and E. Gundogdu and E. Erdem and F. Khan and F. Porikli and F. Zhao and F. Bunyak and F. Battistone and G. Zhu and G. Roffo and G. R. K. S. Subrahmanyam and G. Bastos and G. Seetharaman and H. Medeiros and H. Li and H. Qi and H. Bischof and H. Possegger and H. Lu and H. Lee and H. Nam and H. J. Chang and I. Drummond and J. Valmadre and J.-c. Jeong and J.-i. Cho and J.-Y. Lee and J. Zhu and J. Feng and J. Gao and J. Y. Choi and J. Xiao and J.-W. Kim and J. Jeong and J. F. Henriques and J. Lang and J. Choi and J. M. Martinez and J. Xing and J. Gao and K. Palaniappan and K. Lebeda and K. Gao and K. Mikolajczyk and L. Qin and L. Wang and L. Wen and L. Bertinetto and M. K. Rapuru and M. Poostchi and M. Maresca and M. Danelljan and M. Mueller and M. Zhang and M. Arens and M. Valstar and M. Tang and M. Baek and M. H. Khan and N. Wang and N. Fan and N. Al-Shakarji and O. Miksik and O. Akin and P. Moallem and P. Senna and P. H. S. Torr and P. C. Yuen and Q. Huang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Laganière and R. Stolkin and R. Walsh and S. B. Krah and S. Li and S. Zhang and S. Yao and S. Hadfield and S. Melzi and S. Lyu and S. Li and S. Becker and S. Golodetz and S. Kakanuru and S. Choi and T. Hu and T. Mauthner and T. Zhang and T. Pridmore and V. Santopietro and W. Hu and W. Li and W. Hübner and X. Lan and X. Wang and X. Li and Y. Li and Y. Demiris and Y. Wang and Y. Qi and Z. Yuan and Z. Cai and Z. Xu and Z. He and Z. Chi",
title = "The visual object tracking VOT2016 challenge results",
year = 2016,
booktitle = "European Conference on Computer Vision Workshop (ECCVW)",
pages = "777--823",
keywords = "performance, evaluation, short-term, single-object trackers, vot",
url = "https://link.springer.com/chapter/10.1007/978-3-319-48881-3_54"
}

M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi. The visual object tracking VOT2016 challenge results. European Conference on Computer Vision Workshop (ECCVW), pages 777--823, 2016.

#217: M. Felsberg, M. Kristan, J. Matas, A. Leonardis, R. Pflugfelder, G. Häger, A. Berg, A. Eldesokey, J. Ahlberg, L. Cehovin, T. Vojir, A. Lukezic, G. Fernandez, A. Petrosino, A. Garcia-Martin, A. S. Montero, A. Varfolomieiev, A. Erdem, B. Han, C.-M. Chang, D. Du, E. Erdem, F. S. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Seetharaman, H. Li, H. Qi, H. Bischof, H. Possegger, H. Nam, J. Valmadre, J. Zhu, J. Feng, J. Lang, J. M. Martinez, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Wen, L. Bertinetto, M. Poostchi, M. Maresca, M. Danelljan, M. Arens, M. Tang, M. Baek, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. H. S. Torr, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. B. Krah, S. Li, S. Yao, S. Hadfield, S. Lyu, S. Becker, S. Golodetz, T. Hu, T. Mauthner, V. Santopietro, W. Li, W. Hübner, X. Li, Y. Li, Z. Xu, and Z. He

The thermal infrared visual object tracking VOT-TIR2016 challenge results

European Conference on Computer Vision Workshop (ECCVW), pgs. 824--849, 2016

performance, evaluation, object tracking, thermal, ir, vot

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2016:ECCV_Thermal_VOT_report,
author = "M. Felsberg and M. Kristan and J. Matas and A. Leonardis and R. Pflugfelder and G. Häger and A. Berg and A. Eldesokey and J. Ahlberg and L. Cehovin and T. Vojir and A. Lukezic and G. Fernandez and A. Petrosino and A. Garcia-Martin and A. S. Montero and A. Varfolomieiev and A. Erdem and B. Han and C.-M. Chang and D. Du and E. Erdem and F. S. Khan and F. Porikli and F. Zhao and F. Bunyak and F. Battistone and G. Zhu and G. Seetharaman and H. Li and H. Qi and H. Bischof and H. Possegger and H. Nam and J. Valmadre and J. Zhu and J. Feng and J. Lang and J. M. Martinez and K. Palaniappan and K. Lebeda and K. Gao and K. Mikolajczyk and L. Wen and L. Bertinetto and M. Poostchi and M. Maresca and M. Danelljan and M. Arens and M. Tang and M. Baek and N. Fan and N. Al-Shakarji and O. Miksik and O. Akin and P. H. S. Torr and Q. Huang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Laganière and S. B. Krah and S. Li and S. Yao and S. Hadfield and S. Lyu and S. Becker and S. Golodetz and T. Hu and T. Mauthner and V. Santopietro and W. Li and W. Hübner and X. Li and Y. Li and Z. Xu and Z. He",
title = "The thermal infrared visual object tracking VOT-TIR2016 challenge results",
year = 2016,
booktitle = "European Conference on Computer Vision Workshop (ECCVW)",
pages = "824--849",
keywords = "performance, evaluation, object tracking, thermal, ir, vot",
url = "https://link.springer.com/chapter/10.1007/978-3-319-48881-3_55"
}

M. Felsberg, M. Kristan, J. Matas, A. Leonardis, R. Pflugfelder, G. Häger, A. Berg, A. Eldesokey, J. Ahlberg, L. Cehovin, T. Vojir, A. Lukezic, G. Fernandez, A. Petrosino, A. Garcia-Martin, A. S. Montero, A. Varfolomieiev, A. Erdem, B. Han, C.-M. Chang, D. Du, E. Erdem, F. S. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Seetharaman, H. Li, H. Qi, H. Bischof, H. Possegger, H. Nam, J. Valmadre, J. Zhu, J. Feng, J. Lang, J. M. Martinez, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Wen, L. Bertinetto, M. Poostchi, M. Maresca, M. Danelljan, M. Arens, M. Tang, M. Baek, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. H. S. Torr, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. B. Krah, S. Li, S. Yao, S. Hadfield, S. Lyu, S. Becker, S. Golodetz, T. Hu, T. Mauthner, V. Santopietro, W. Li, W. Hübner, X. Li, Y. Li, Z. Xu, and Z. He. The thermal infrared visual object tracking VOT-TIR2016 challenge results. European Conference on Computer Vision Workshop (ECCVW), pages 824--849, 2016.

#193: M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao

The Visual Object Tracking VOT2015 challenge results

IEEE International Conference on Computer Vision Workshops (ICCVW), pgs. 564-586, 2015

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kristan2015:ICCVW_VOT2015,
  author = "M. Kristan and J. Matas and A. Leonardis and M. Felsberg and .. and R. Pelapur and K. Palaniappan and F. Bunyak and M. Poostchi and S. Yao and K. Gao",
  title = "The Visual Object Tracking VOT2015 challenge results",
  year = 2015,
  journal = "IEEE International Conference on Computer Vision Workshops (ICCVW)",
  pages = "564-586",
  month = "Dec",
  keywords = "wami, tracking, fmv, features, motion, image analysis",
  doi = "10.1109/ICCVW.2015.79",
  url = "http://www.votchallenge.net/vot2015/program.html"
}

M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao. The Visual Object Tracking VOT2015 challenge results. IEEE International Conference on Computer Vision Workshops (ICCVW), pages 564-586, December 2015.

#173: M. Poostchi, F. Bunyak, and K. Palaniappan

Feature selection for appearance-based vehicle tracking in geospatial video

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470G, 2013

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Mahdieh:FeatureSelection_SPIE-2013,
  author = "M. Poostchi and F. Bunyak and K. Palaniappan",
  title = "Feature selection for appearance-based vehicle tracking in geospatial video",
  year = 2013,
  booktitle = "Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation)",
  volume = 8747,
  pages = "87470G",
  keywords = "wami, tracking, fmv, features, motion, dod",
  doi = "10.1117/12.2015672"
}

M. Poostchi, F. Bunyak, and K. Palaniappan. Feature selection for appearance-based vehicle tracking in geospatial video. Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), volume 8747, pages 87470G, 2013.

#160: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Efficient GPU implementation of the integral histogram

Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision), Volume 7728, pgs. 266--278, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Mahdieh:ACCVW-2012-gpuIH,
  author = "M. Poostchi and K. Palaniappan and F. Bunyak and M. Becchi and G. Seetharaman",
  title = "Efficient GPU implementation of the integral histogram",
  year = 2012,
  booktitle = "Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision)",
  volume = 7728,
  number = Part I,
  pages = "266--278",
  keywords = "parallelization, gpu, tracking, fmv, motion, features, dod"
}

M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman. Efficient GPU implementation of the integral histogram. Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision), volume 7728, issue Part I, pages 266--278, 2012.

#147: R. Pelapur, S. Candemir, F. Bunyak, M. Poostchi, G. Seetharaman, and K. Palaniappan

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

15th Int. Conf. Information Fusion, pgs. 2420--2427, 2012

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Rengarajan:LOFTSystem_FUSION2012,
  author = "R. Pelapur and S. Candemir and F. Bunyak and M. Poostchi and G. Seetharaman and K. Palaniappan",
  title = "Persistent target tracking using likelihood fusion in wide-area and full motion video sequences",
  year = 2012,
  booktitle = "15th Int. Conf. Information Fusion",
  pages = "2420--2427",
  keywords = "wami, tracking, fmv, motion, features, fusion, dod",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6290597"
}

R. Pelapur, S. Candemir, F. Bunyak, M. Poostchi, G. Seetharaman, and K. Palaniappan. Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. 15th Int. Conf. Information Fusion, pages 2420--2427, 2012.

#146: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms

8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Mahdieh:ICVGIP-2012-median,
  author = "M. Poostchi and K. Palaniappan and F. Bunyak and M. Becchi and G. Seetharaman",
  title = "Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms",
  year = 2012,
  booktitle = "8th Indian Conference on Computer Vision, Graphics and Image Processing",
  keywords = "parallelization, gpu, tracking, fmv, motion, features, dod",
  doi = "10.1145/2425333.2425352"
}

M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman. Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms. 8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012.

#105: External lab: G. Vahdati, M. Yaghoubi, M. Poostchi, and S. Naghibi

A new approach to solve traveling salesman problem using genetic algorithm based on heuristic crossover and mutation operator

Soft Computing and Pattern Recognition, 2009. SOCPAR'09. International Conference of, pgs. 112--116, 2009

Bibtex, PlainText, Google Scholar

@inproceedings{vahdati2009new,
  author = "G. Vahdati and M. Yaghoubi and M. Poostchi and S. Naghibi",
  title = "A new approach to solve traveling salesman problem using genetic algorithm based on heuristic crossover and mutation operator",
  year = 2009,
  booktitle = "Soft Computing and Pattern Recognition, 2009. SOCPAR'09. International Conference of",
  pages = "112--116"
}

15 Publications by "M. Poostchi"

14 CIVA Publications and 1 external publications

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy

Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery

The Visual Object Tracking VOT2017 challenge results

CNN - Based Image Analysis for Malaria Diagnosis

deep learning, malaira, cells, classification, biomedical

Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering

wami, tracking

Semantic depth map fusion for moving vehicle detection in aerial video

wami, tracking, fmv, features, motion, image analysis

The visual object tracking VOT2016 challenge results

performance, evaluation, short-term, single-object trackers, vot

The thermal infrared visual object tracking VOT-TIR2016 challenge results

performance, evaluation, object tracking, thermal, ir, vot

The Visual Object Tracking VOT2015 challenge results

wami, tracking, fmv, features, motion, image analysis

Feature selection for appearance-based vehicle tracking in geospatial video

wami, tracking, fmv, features, motion, dod

Efficient GPU implementation of the integral histogram

parallelization, gpu, tracking, fmv, motion, features, dod

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

wami, tracking, fmv, motion, features, fusion, dod

Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms

parallelization, gpu, tracking, fmv, motion, features, dod

A new approach to solve traveling salesman problem using genetic algorithm based on heuristic crossover and mutation operator