Occlusions and active appearance models
نویسندگان
چکیده
The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper, we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active contour, incorporating shape history into the tracker. The second approach combines AAMs and the particle filter, consequently employing both shape and texture history into the tracker. For each approach, a simple occlusion detection method is suggested, enabling us to address occlusion.
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