Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hyperplane Approximation for Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Spatiograms versus Histograms for Region-Based Tracking
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fast Multiple Object Tracking via a Hierarchical Particle Filter
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Robust Fragments-based Tracking using the Integral Histogram
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Object Tracking using Color Correlogram
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A comparative evaluation of template and histogram based 2d tracking algorithms
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Gaussian mixture model in improved HLS color space for human silhouette extraction
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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In this paper, we propose a system for multiple people tracking using fragment based histogram matching. Appearance model is based on Improved HLS color histogram which can be calculated efficiently using integral histogram representation. Since the histograms will loss all spatial information, we define a fragment based region representation which retains spatial information, robust against occlusion and scale issue by using disparity information. Multiple people labeling is maintained by creating an online appearance representation for each person detected in the scene and calculating fragment vote map. Initialization is performed automatically from the background segmentation step.