23 Publications by "N. Al-Shakarji"


E. Asante, D. Hummel, S. Gurung, Y. Kassim, N. Al-Shakarji, K. Palaniappan, V. Sittaramane, and A. Chandrasekhar

Defective neuronal positioning correlates with aberrant motor circuit function in zebrafish

Frontiers in Neural Circuits, Volume 15, 2021

jaw movement, food intake, behavior, neuronal migration, axon guidance, zebrafish, neural circuits, facial branchiomotor neuron, fusion, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
R. Bao, N. Al-Shakarji, F. Bunyak, and K. Palaniappan

DMNet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking

IEEE International Conference on Computer Vision Workshops (ICCVW), pgs. 3354-3363, 2021

training, image segmentation, shape, microscopy, stem cells, cell detection, cell tracking, mitosis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
N. Al-Shakarji, K. Gao, F. Bunyak, H. Aliakbarpour, E. Blasch, P. Narayaran, G. Seetharaman, and K. Palaniappan

Impact of georegistration accuracy on wide area motion imagery object detection and tracking

IEEE International Conference on Information Fusion (FUSION), pgs. 1-8, 2021

deep learning, fusion, wami, object detection, multi-object tracking, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
H. Fan, D. Du, L. Wen, P. Zhu, Q. Hu, H. Ling, M. Shah, J. Pan, A. Schumann, B. Dong, D. Stadler, D. Xu, F. Bunyak, G. Seetharaman, G. Liu, V. Haritha, P. S. Hrishikesh, J. Han, K. Palaniappan, K. Zhu, L. W. Sommer, L. Zhang, L. Shine, M. Yao, N. Al-Shakarji, S. Li, T. Sun, W. Sai, W. Yu, X. Wu, X. Hong, X. Wei, X. Zhao, Y. Zhao, Y. Gong, Y. Yao, Y. He, Z. Zhao, Z. Xie, Z. Yang, Z. Xu, Z. Luo, and Z. Duan

VisDrone-MOT2020: The vision meets drone multiple object tracking challenge results

European Conference on Computer Vision (ECCV), Springer International Publishing, pgs. 713--727, 2020

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
N. Al-Shakarji, E. Ufuktepe, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Semi-automatic system for rapid annotation of moving objects in surveillance videos using deep detection and multi-object tracking techniques

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2020

ground truth generator, object annotation, deep learning, object detection, tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#296: E. Ufuktepe, V. Ramtekkar, K. Gao, N. Al-Shakarji, J. Fraser, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

pyTAG: Python-based interactive training data generation for visual tracking algorithms

Proc. SPIE Conf. Geospatial InfoFusion X (Defense + Commercial Sensing), Volume 11398, 2020

ground-truth generation, visual tracking, crowd sourcing, annotation, deep learning

Abstract, Bibtex, PlainText, Software, URL, DOI, Google Scholar
L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong

VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pgs. 189-198, 2019

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
N. Al-Shakarji, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Performance evaluation of semantic video compression using multi-cue object detection

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-8, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis, saliency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#287: N. Al-Shakarji, F. Bunyak, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

Multi-cue vehicle detection for semantic video compression in georegistered aerial videos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pgs. 56-65, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#264: A. Bouix, N. Al-Shakarji, K. Gao, F. Bunyak, A. Chazot, A. Hafiane, and K. Palaniappan

Robust target tracking using adaptive color feature and likelihood fusion

International Society for Optics and Photonics, Volume 10645, pgs. 106450L, 2018

visual object tracking, staple, correlation filter, color name, fusion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. S. Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi, and Z. Ma

VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results

Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
S. Lyu, M.-C. Chang, D. Du, W. Li, Y. Wei, M. D. Coco, P. Carcagnì, A. Schumann, B. Munjal, D.-Q. Dang, D.-H. Choi, E. Bochinski, F. Galasso, F. Bunyak, G. Seetharaman, J.-W. Baek, J. T. Lee, K. Palaniappan, K.-T. Lim, K. Moon, K.-J. Kim, L. Sommer, M. Brandlmaier, M.-S. Kang, M. Jeon, N. M. Al-Shakarji, O. Acatay, P.-K. Kim, S. Amin, T. Sikora, T. Dinh, T. Senst, V.-G. Che, Y.-C. Lim, Y.-m. Song, and Y.-S. Chung

UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-6, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#273: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Multi-object tracking cascade with multi-step data association and occlusion handling

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-6, 2018

multi-object tracking, tracking, occlusion handling, association

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#266: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Robust multi-object tracking for wide area motion imagery

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-5, 2018

tracking, wide area motion imagery, multi-object tracking, tracking-by-detection, data association

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#282: N. M. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

A hybrid local and global multi-object tracking with semantic spatial and appearance modules

International Society for Optics and Photonics , Volume 10645, pgs. 106450B, 2018

multi-object tracking, tracking-by-detection, global data association, local data association, appearance modules

Abstract, Bibtex, PlainText, URL, Google Scholar
#284: Y. M. Kassim, N. Al-Shakarji, E. Asante, A. Chandrasekhar, and K. Palaniappan

Dissecting branchiomotor neuron circuits in zebrafish - Toward high-throughput automated analysis of jaw movements

IEEE International Symposium on Biomedical Imaging (ISBI), pgs. 943-947, 2018

zebrafish, branchiomotor circuit, behavior, video microscopy, optical flow, background subtraction, motion map

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
N. Al-Shakarji, Y. Kassim, and K. Palaniappan.

Unsupervised learning method for plant and leaf segmentation

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-4, 2017

plant segmentation, leaf segmentation, watershed, markers, leaves counting

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2017

tracking, wide area motion imagery, kernelized correlation filter, discriminative modeling, ridge regression

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#249: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Robust multi-object tracking with semantic color correlation

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-7, 2017

image color analysis, tracking, color, correlation, lighting, histograms.

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#242: S. Lyui, M. Chang, D. Du, L. Wen, H. Qi, Y. Li, Y. Wei, L. K., T. Hu, M. DelCoco, P. Carcagnì, D. Anisimov, E. Bochinski, F. Galasso, F. Bunyak, G. Han, H. Ye, H. Wang, K. Palaniappan, K. Ozcan, L. W. L. Wang, M. Lauer, N. Watcharapinchai, N. Song, N. Al-Shakarji, S. Wang, S. Amin, S. Rujikietgumjorn, T. Khanova, T. Sikora, T. Kutschbach, V. Eiselein, W. Tian, X. Xue, X. Yu, Y. Lu, Y. Zheng, Y. Huang, and Y. Zhang

UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring

IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pgs. 1-7, 2017

multi-object tracking, tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
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
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
#237: N. Al-Shakarji, F. Bunyak, and K. Palaniappan

CS-LOFT: Color and scale adaptive tracking using Bhattacharyya distance and max pooling consistency

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2016

color, tracking, features, single object tracking

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