Object Tracking with Bayesian Estimation of Dynamic Layer Representations
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Edge detection of color images using directional operators
IEEE Transactions on Circuits and Systems for Video Technology
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A novel real-time object tracking algorithm is proposed which tracks objects in real-time on an iPhone platform. The system utilizes information such as image intensity, color, edges, and texture for matching different candidate tracks. The tracking system adapts to changes in target appearance and size (including resizing candidate tracks to a universal depth-independent size) while running at 10-15FPS tracking rate. Several experiments conducted on actual video are used to illustrate the proposed approach.