Multi-camera Tracking and Activity Recognition
نویسندگان
چکیده
This document describes the progress on the MUCATAR (MUltiple CAmera Tracking and Activity Recognition) IM2 White Paper Project during its second year. Building on the first year achievments on single-object tracking, the research during the second year moved into two main directions: 1) the investigation of new sampling strategies to improve tracking with particle filters, both for single and multi-object tracking, and 2) the development of mixed-state particle filters for the tasks of joint head tracking and recognition of head poses, and multi-camera multi-modal speaker tracking. Details and results for the developed aproaches are presented and discussed.
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