Feature-based annealing particle filter for robust body pose estimation
Document typeConference report
Rights accessOpen Access
This paper presents a new annealing method for particle filtering in the context of body pose estimation. The feature-based annealing is inferred from the weighting functions obtained with common image features used for the likelihood approximation. We introduce a complementary weighting function based on the foreground extraction and we balance the different measures through the annealing layers in order to improve the posterior estimate. This technique is applied to estimate the upper body pose of a subject in a realistic multi-view environment. Comparative results between the proposed method and the common annealing strategy are presented to assess the robustness of the algorithm.
CitationLópez, A.; Casas, J. Feature-based annealing particle filter for robust body pose estimation. A: International Conference on Computer Vision Theory and Applications, VISAPP 2009. "Fourth International Conference on Computer Vision Theory and Applications". Lisboa: 2009, p. 438-443.