Visibility-Based Observation Model for 3D Tracking with Non-parametric 3D Particle Filters
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
A review of vision-based systems for soccer video analysis
Pattern Recognition
Cascade of descriptors to detect and track objects across any network of cameras
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Human tracking with variable prediction steps based on Kullback-Leibler divergence
Artificial Life and Robotics
Survey on contemporary remote surveillance systems for public safety
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Activity based matching in distributed camera networks
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Multiple camera people detection and tracking using support integration
Pattern Recognition Letters
A path planning method for human tracking agents using variable-term prediction
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Crowd detection with a multiview sampler
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Automatic initialization for 3D soccer player tracking
Pattern Recognition Letters
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
Multi-person localization and track assignment in overlapping camera views
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Multi-camera people localization and height estimation using multiple birth-and-death dynamics
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Practical computer vision: example techniques and challenges
IBM Journal of Research and Development
A Reliable People Counting System via Multiple Cameras
ACM Transactions on Intelligent Systems and Technology (TIST)
A probabilistic integrated object recognition and tracking framework
Expert Systems with Applications: An International Journal
Dynamic subset selection for multi-camera tracking
Proceedings of the 50th Annual Southeast Regional Conference
A multi-view annotation tool for people detection evaluation
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
An adaptive sample count particle filter
Computer Vision and Image Understanding
Visual knowledge transfer among multiple cameras for people counting with occlusion handling
Proceedings of the 20th ACM international conference on Multimedia
Monocular object detection using 3d geometric primitives
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
A fast method for tracking people with multiple cameras
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Robust object tracking in crowd dynamic scenes using explicit stereo depth
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Game-theoretical occlusion handling for multi-target visual tracking
Pattern Recognition
Evaluation of manually created ground truth for multi-view people localization
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
A comparative study on multi-person tracking using overlapping cameras
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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
A visualization framework for team sports captured using multiple static cameras
Computer Vision and Image Understanding
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Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individual people correctly and consistently, particularly in a single view. We present a multi-view approach to solving this problem. In our approach we neither detect nor track objects from any single camera or camera pair; rather evidence is gathered from all the cameras into a synergistic framework and detection and tracking results are propagated back to each view. Unlike other multi-view approaches that require fully calibrated views our approach is purely image-based and uses only 2D constructs. To this end we develop a planar homographic occupancy constraint that fuses foreground likelihood information from multiple views, to resolve occlusions and localize people on a reference scene plane. For greater robustness this process is extended to multiple planes parallel to the reference plane in the framework of plane to plane homologies. Our fusion methodology also models scene clutter using the Schmieder and Weathersby clutter measure, which acts as a confidence prior, to assign higher fusion weight to views with lesser clutter. Detection and tracking are performed simultaneously by graph cuts segmentation of tracks in the space-time occupancy likelihood data. Experimental results with detailed qualitative and quantitative analysis, are demonstrated in challenging multi-view, crowded scenes.