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In probabilistic location estimation, Kalman filters, particle filters, and hidden Markov model (HMM) schemes are commonly used. Among those, HMM-based algorithms have the best performance. However, there is still room for improvement. In this paper, we propose two distributed cooperative location estimation algorithms, D-COOLEST1 and D-COOLEST2, for HMM-based location estimation. The users are designed...
In this paper, a novel method based on adaptive particle filter (APF) for tracking human motion in monocular videos is proposed. With an initial human skeleton joint point template, we use the probability density propagation of the particle filers through the model. This algorithm can automatically deal with tracking issues such as occlusion and auto-occlusion. Experimental results from 20 classes...
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