A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Multiple people gesture recognition for human-robot interaction
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Real-time vision based gesture recognition for human-robot interaction
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Cascade particle filter for human tracking with multiple and heterogeneous cameras
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Globally optimal multi-target tracking on a hexagonal lattice
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
International Journal of Robotics Research
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
People tracking algorithm for human height mounted cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Real-time multi-view 3d object tracking in cluttered scenes
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Online multiple object tracking by hierarchical association of detection responses
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
A large margin framework for single camera offline tracking with hybrid cues
Computer Vision and Image Understanding
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Multiple human tracking in high-density crowds
Image and Vision Computing
Exploiting pedestrian interaction via global optimization and social behaviors
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Multi-person tracking-by-detection based on calibrated multi-camera systems
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
SCOOP: A Real-Time Sparsity Driven People Localization Algorithm
Journal of Mathematical Imaging and Vision
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Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions. In addition, we also derive metrically accurate trajectories for each one of them. Our main contribution is to show that multi-person tracking can be reliably achieved by processing individual trajectories separately over long sequences, provided that a reasonable heuristic is used to rank these individuals and avoid confusing them with one another. In this way, we achieve robustness by finding optimal trajectories over many frames while avoiding the combinatorial explosion that would result from simultaneously dealing with all the individuals.