The image flow constraint equation
Computer Vision, Graphics, and Image Processing
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video-Based Surveillance Systems: Computer Vision and Distributed Processing
Video-Based Surveillance Systems: Computer Vision and Distributed Processing
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Video object segmentation
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
CVML - An XML-based Computer Vision Markup Language
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Efficient Mean-Shift Tracking via a New Similarity Measure
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Automatic Acquisition of Context Models and its Application to Video Surveillance
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
ACM Computing Surveys (CSUR)
Real-time hand tracking using a mean shift embedded particle filter
Pattern Recognition
Evaluation of Motion Segmentation Quality for Aircraft Activity Surveillance
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A new video segmentation method of moving objects based on blob-level knowledge
Pattern Recognition Letters
An object-based comparative methodology for motion detection based on the F-Measure
Computer Vision and Image Understanding
Bioinformatics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
Optic flow from unstable sequences through local velocity constancy maximization
Image and Vision Computing
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Filling the gap in quality assessment of video object tracking
Image and Vision Computing
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Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic object detection and/or tracking (D&T) algorithms in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean Shift (CMS), Optical Flow (OF) and etc. An important problem for performance evaluation is the absence of stable and flexible software for comparison of different algorithms. This software is able to compare them with the same metrics in real-time and at the same platform. In this paper, we have designed and implemented the software for the performance comparison and the evaluation of well-known video object D&T algorithms (for people D&T) at the same platform. The software works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities and etc.