Resolving Motion Correspondence for Densely Moving Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking and Object Classification for Automated Surveillance
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Shadow Elimination Method for Vehicle Analysis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Noniterative Greedy Algorithm for Multiframe Point Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moving Cast Shadow Detection from a Gaussian Mixture Shadow Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Shadow identification and classification using invariant color models
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Interaction between high-level and low-level image analysis for semantic video object extraction
EURASIP Journal on Applied Signal Processing
Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset
Multimodal Technologies for Perception of Humans
Multiview trajectory mapping using homography with lens distortion correction
Journal on Image and Video Processing - Regular
Identifying people in camera networks using wearable accelerometers
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Trajectory Association and Fusion across Partially Overlapping Cameras
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Content and task-based view selection from multiple video streams
Multimedia Tools and Applications
IEEE Transactions on Circuits and Systems for Video Technology
Tasking networked CCTV cameras and mobile phones to identify and localize multiple people
Proceedings of the 12th ACM international conference on Ubiquitous computing
Key observation selection-based effective video synopsis for camera network
Machine Vision and Applications
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We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in real-world surveillance scenarios. The algorithm is based on color change detection and multi-feature graph matching. The change detector uses statistical information from each color channel to discriminate between foreground and background. Changes of global illumination, dark scenes, and cast shadows are dealt with a pre-processing and post-processing stage. Graph theory is used to find the best object paths across multiple frames using a set of weighted object features, namely color, position, direction and size. The effectiveness of the proposed algorithm and the improvements in accuracy and precision introduced by the use of multiple features are evaluated on the VACE dataset.