Tracking the joints of articulated objects without a priori shape models

by Simon Leonard (University of Alberta)

The analysis of articulated motion has been greatly motivated by applications in human-computer interaction, gesture analysis and recognition, surveillance systems and gait analysis. Unfortunately, this focus on human motion analysis has led to many shortcomings and has left the general case of arbitrary articulated motion neglected. In this talk I will discuss about a system that decomposes arbitrary articulated motion and locates the joints where the nonrigid motion originated. I will describe how the piecewise decomposition is achieved by recursively using the Hausdorff distance without any help of a priori knowledge of the viewed object and how joints can be tracked without using any appearance based method. I will also explain how particle sampling is used to deal with varying number of joints and noise.

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