An Integrated System for Face Detection and Tracking
نویسندگان
چکیده
This paper presents an integrated system for face detection and tracking in video sequences. The system consists of two modules, namely face detection and face tracking. The automatic face detection is based on a non-holistic object detection approach that utilizes the appearance and the topology of facial components to robustly detect faces in images. Both statistical and structural pattern recognition domain techniques are applied. Tracking is performed by representing the image intensity by a deformable surface model and then, exploiting a by-product of explicit surface deformation governing equations in order to find and track salient image features. The presented system can detect and track multiple human faces and handle tracking failures (e.g. due to occlusions). The combination of the detection and tracking schemes supports automatic tracking with no need for manual initialization or re-initialization and achieves satisfying performance in terms of tracking quality and computational complexity.
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