Recovering Articulated Motion with a Hierarchical Factorization Method

Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization method is proposed for recovering articulated human motion (such as hand gesture) from a sequence of images captured under weak perspective projection. It is robust against missing feature points due to self-occlusion, and various observation noises. The accuracy of our algorithm is verified by experiments on synthetic data.

• Type: Conference
• Year: 2003
• Where: GW
• Authors: Hanning Zhou, Thomas S. Huang
• Keywords: GW 2003, Hierarchical Factorization Method, Human Motion, Weak Perspective Projection