57 Publications by "G. Seetharaman"


#179: H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

A probabilistic framework for 3D reconstruction using heterogeneous sensors

IEEE Sensors, Volume 17, pgs. 1-2, 2017

3d reconstruction, depth sensor, sensor fusion

Abstract, Bibtex, PlainText, DOI, Google Scholar
#180: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Oblique Aerial Image Georegistration and Efficient Camera Pose Refinement Without Correspondence-based Homographies

IEEE Transactions on Geoscience and Remote Sensing, 2017

registration, 3d reconstruction

Bibtex, PlainText, Google Scholar
#178: J. Peng, A. J. Aved, G. Seetharaman, and K. Palaniappan

Multiview Boosting With Information Propagation for Classification

IEEE Transactions on Neural Networks and Learning Systems, 2017

biometrics, boosting, classification, convergence, data fusion, multiarmed bandits, multiview learning

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#171: V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests

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

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar
#172: 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
#169: R. Aktar, V. B. S. Prasath, H. Aliakbarpour, U. Sampathkumar, G. Seetharaman, and K. Palaniappan

Video haze removal and Poisson blending based mini-mosaics for wide area motion imagery

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

haze removal, blending, mosaicing, wami

Abstract, Bibtex, PlainText, Google Scholar
#166: V. B. S. Prasath, S. Surineni, K. Gao, G. Seetharaman, and K. Palaniappan

CSANG: Continuous scale anisotropic Gaussians for robust linear structure extraction

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

arst, edge detection, gpu

Abstract, Bibtex, PlainText, Google Scholar
#174: G. Seetharaman, K. Palaniappan, F. Bunyak, and R. Wang

System and method for static and moving object detection

US Patent 9,454,819, 2016

flux tensor, object detection, ftsg, patent

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#175: H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

Heterogeneous multi-view information fusion: Review of 3-D reconstruction methods and a new registration with uncertainty modeling

IEEE Access , Volume 4, pgs. 8264-8285, 2016

registration, 3d reconstruction, uncertainty modeling, sensor fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#170: 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
#164: S. Meena, K. Palaniappan, and G. Seetharaman

User driven sparse point based image segmentation

IEEE International Conference on Image Processing (ICIP), pgs. 844-848, 2016

segmentation, interactive, gaussian elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#162: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Textured object video segmentation using temporal coherency

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

segmentation, videos, active contours

Abstract, Bibtex, PlainText, Google Scholar
#163: R. Gargees, B. Morago, R. Pelapur, D. Chemodanov, P. Calyam, Z. Oraibi, Y. Duan, G. Seetharaman, and K. Palaniappan

Incident-supporting visual cloud computing utilizing software-defined networking

IEEE Transactions on Circuits and Systems for Video Technology, 2016

cloud computing, resource management, tracking

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#160: S. Meena, K. Palaniappan, G. Seetharaman, and V. B. S. Prasath

Interactive target selection in aerial imagery using elastic body splines

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

interactive, segmentation, wami, target selection

Abstract, Bibtex, PlainText, Google Scholar
#155: S. Meena, K. Palaniappan, and G. Seetharaman

Interactive image segmentation using elastic interpolation

IEEE International Symposium on Multimedia (ISM), pgs. 307-310 , 2015

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#154: W. R. Thissell, R. Czajkowski, F. Schrenk, T. Selway, A. J. Ries, S. Patel, P. L. McDermott, R. Moten, R. Rudnicki, G. Seetharaman, I. Ersoy, and K. Palaniappan

A scalable architecture for operational FMV exploitation (AVAA)

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

fmv, motion, features, image anlaysis, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#153: H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Fast structure from motion for sequential and wide area motion imagery

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

structure from motion, 3d reconstruction, bundle adjustment, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#150: R. Viguier, C. C. Lin, H. AliAkbarpour, F. Bunyak, S. Pankanti, G. Seetharaman, and K. Palaniappan

Automatic video content summarization using geospatial mosaics of aerial imagery

IEEE International Symposium on Multimedia (ISM), pgs. 5pp, 2015

video summarization, mosaicing, geospatial

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#144: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Robust camera pose refinement and rapid SfM for multiview aerial imagery—Without RANSAC

IEEE Geoscience and Remote Sensing Letters, Volume 12, pgs. 2203-2207 , 2015

3d reconstruction, wami, shape from motion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#148: R. Viguier, C. C. Lin, K. Swaminathan, A. Vega, A. Buyuktosunoglu, S. Pankanti, P. Bose, H. Akbarpour, F. Bunyak, K. Palaniappan, and G. Seetharaman

Resilient mobile cognition: Algorithms, innovations, and architectures

IEEE International Conference on Computer Design (ICCD), pgs. 4pp, 2015

video summarization, mosaicing, geospatial, mobile, cognition

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#147: V. B. S. Prasath, D. Vorotnikov, R. Pelapur, S. Jose, G. Seetharaman, and K. Palaniappan

Multiscale Tikhonov-total variation image restoration using spatially varying edge coherence exponent

IEEE Transactions on Image Processing, Volume 24, pgs. 5220-5235, 2015

image restoration, regularization, anisotropic diffusion, total variation

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#143: A. Hafiane, K. Palaniappan, and G. Seetharaman

Joint Adaptive Median Binary Patterns for texture classification

Pattern Recognition, Volume 48, pgs. 2609-2620, 2015

texture, lbp, classification, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#141: A. Hafiane, K. Palaniappan, and G. Seetharaman

Adaptive median binary patterns for texture classification

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2014

texture, lbp, classification, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#136: A. Gning, W. T. L. Teacy, R. Pelapur, H. AliAkbarpour, K. Palaniappan, G. Seetharaman, and S. J. Julier

The effect of state dependent probability of detection in multitarget tracking applications

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

tracking, multitarget, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#137: S. Meena, V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Elastic body spline based image segmentation

Proc. IEEE International Conference on Image Processing (ICIP), pgs. 4378-4382, 2014

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#134: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Feature fusion and label propagation for textured object video segmentation

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

segmentation, active contours, video, globally convex

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#133: R. Wang, F. Bunyak, G. Seetharaman, and K. Palaniappan

Static and moving object detection using flux tensor with split Gaussian models

Proc. of IEEE CVPR Workshop on Change Detection, 2014

ftsg, flux tensor, split gaussian, change detection

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#126: R. Pelapur, F. Bunyak, G. Seetharaman, and K. Palaniappan

Vehicle detection and orientation estimation using the Radon transform

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

wami, tracking, fmv, motion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#124: J. Fraser, A. Haridas, G. Seetharaman, R. Rao, and K. Palaniappan

KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery

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

visualization, big data, wami, tracking, fmv, features, motion, dod, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#121: E. Blasch, G. Seetharaman, K. Palaniappan, H. Ling, and G. Chen

Wide-Area Motion Imagery (WAMI) exploitation tools for enhanced situational awareness

Proc. IEEE Applied Imagery Pattern Recognition Workshop, 2012

wami, visual events, fusion, data mining, fmv, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#106: 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
#119: I. Ersoy, K. Palaniappan, G. Seetharaman, and R. Rao

Interactive tracking for persistent wide-area surveillance

Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8396, 2012

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

Abstract, Bibtex, PlainText, PDF, Google Scholar
#117: S. Candemir, K. Palaniappan, F. Bunyak, and G. Seetharaman

Feature fusion using ranking for object tracking in aerial imagery

Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8396, 2012

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

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#123: I. Ersoy, K. Palaniappan, and G. Seetharaman

Visual tracking with robust target localization

IEEE Int. Conf. Image Processing, pgs. 1365--1368, 2012

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#115: R. Pelapur, K. Palaniappan, and G. Seetharaman

Robust orientation and appearance adaptation for wide-area large format video object tracking

9th IEEE Int. Conf. Advanced Video and Signal-Based Surveillance, 2012

wami, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#122: J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman

Kullback-Leibler divergence-based data fusion for target tracking

Int. Conf. Pattern Recognition, 2012

wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#112: 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
#109: V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Multichannel texture image segmentation using local feature fitting based variational active contours

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

active contours, color, texture, segmentation, features, fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#108: S. Candemir, K. Palaniappan, F. Bunyak, G. Seetharaman, and R. Rao

Feature prominence-based weighting scheme for video tracking

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

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

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#107: 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
#105: L. Wang, C. Shen, G. Seetharaman, K. Palaniappan, and S. Bhattacharyya

Multidimensional dataflow graph modeling and mapping for efficient GPU implementation

IEEE Workshop Signal Processing Systems (SiPS), pgs. 300--305, 2012

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#104: K. Palaniappan, R. Rao, and G. Seetharaman

Wide-area persistent airborne video: Architecture and challenges

Distributed Video Sensor Networks: Research Challenges and Future Directions, Springer, pgs. 349--371, 2011

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#102: P. Bellens, K. Palaniappan, R. M. Badia, G. Seetharaman, and J. Labarta

Parallel implementation of the integral histogram

Lecture Notes in Computer Science (ACIVS), Volume 6915, pgs. 586--598, 2011

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#101: J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan

ShareBoost: Boosting for multi-view learning with performance guarantees

Lecture Notes in Artificial Intelligence (ECML PKDD), Volume 6912, pgs. 597--612, 2011

machine learning, detection, classification, features, texture, data mining

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#99: K. Palaniappan, I. Ersoy, G. Seetharaman, S. Davis, P. Kumar, R. M. Rao, and R. Linderman

Parallel flux tensor analysis for efficient moving object detection

14th Int. Conf. Information Fusion, 2011

parallelization, wami, tracking, fmv, motion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#98: E. Blasch, P. Deignan, S. Dockstader, M. Pellechia, K. Palaniappan, and G. Seetharaman

Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing

Proc. IEEE National Aerospace and Electronics Conference (NAECON), pgs. 183--190, 2011

wami, visual events, fusion, data mining, gis, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#97: K. Palaniappan, F. Bunyak, P. Kumar, I. Ersoy, S. Jaeger, K. Ganguli, A. Haridas, J. Fraser, R. Rao, and G. Seetharaman

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

13th Int. Conf. Information Fusion, 2010

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#95: K. Palaniappan, I. Ersoy, G. Seetharaman, S. Davis, R. Rao, and R. Linderman

Multicore energy efficient flux tensor for video analysis

IEEE Workshop on Energy Efficient High-Performance Computing (EEHiPC), 2010

parallelization, wami, tracking, fmv, motion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#93: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Semantic concept mining based on hierarchical event detection for soccer video indexing

J. Multimedia, Volume 4, pgs. 298--312, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#84: K. Palaniappan, I. Ersoy, A. Hafiane, and G. Seetharaman

Moving object detection in UAV-video using flux tensors

IEEE Int. Geoscience and Remote Sensing Symposium, 2009

wami, tracking, fmv, registration, motion, fusion, dod

Bibtex, PlainText, Google Scholar
#82: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Event detection and semantic identification using Bayesian belief networks

IEEE Int. Conf. Computer Vision Workshops, pgs. 554--561, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#87: P. Kumar, K. Palaniappan, A. Mittal, and G. Seetharaman

Parallel blob extraction using the multi-core Cell processor

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 320--332, 2009

parallelization, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#72: A. Hafiane, G. Seetharaman, K. Palaniappan, and B. Zavidovique

Rotationally invariant hashing of median binary patterns for texture classification

Lecture Notes in Computer Science (ICIAR), Volume 5112, pgs. 619--629, 2008

texture, image enhancement, classification, segmentation, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#68: A. Hafiane, K. Palaniappan, and G. Seetharaman

UAV-Video registration using block-based features

IEEE Int. Geoscience and Remote Sensing Symposium, Volume II, pgs. 1104-1107, 2008

wami, tracking, fmv, registration, motion, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#65: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking

J. Multimedia, Volume 2, pgs. 20--33, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#62: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Geodesic active contour based fusion of visible and infrared video for persistent object tracking

8th IEEE Workshop Applications of Computer Vision (WACV 2007), pgs. Online, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#29: G. Seetharaman, G. Gasperas, and K. Palaniappan

A piecewise affine model for image registration in nonrigid motion analysis

IEEE Int. Conf. Image Processing, Volume 1, pgs. 561--564, 2000

wami, tracking, fmv, registration, motion, fusion, dod

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