CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Segmentation and Tracking of Interacting Human Body Parts under Occlusion and Shadowing
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Action recognition with semi-global characteristics and hidden Markov models
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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We propose a real time algorithm to track moving persons without any a priori knowledge neither on the model of person, nor on their size or their number, which can evolve with time. It manages several problems such as occlusion and under or over-segmentations. The first step consisting in motion detection, leads to regions that have to be assigned to trajectories. This tracking step is achieved using a new concept: elementary tracks. They allow on the one hand to manage the tracking and on the other hand, to detect the output of occlusion by introducing coherent sets of regions. Those sets enable to define temporal kinematical model, shape model or colour model. Significant results have been obtained on several sequences with ground truth as shown in results.