Adaptive appearance model and condensation algorithm for robust face tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
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In this paper, we present a robust face tracking system for video indexing and retrieval. Our face tracker is designed based on the condensation algorithm. The strength of our face tracking is in the incorporation of Lucas-Kanade feature tracker in the measurement stage of condensation. Skin color and facial feature points are used for tracking. The pros and cons of using color and facial feature points complement each other and ensure the effectiveness of our system. We also adopt a bi-directional tracking approach to enhance the robustness. We demonstrate the efficacy of our technique in the challenging task of tracking faces in various video sources.