Abstract
Visual tracking of human body movement is a key technology in a number of areas, such as visual surveillance and monitoring. We present a 2-D model-based method of human body tracking from a monocular video sequence. Morris and Rehg put forward a 2-D scaled prismatic model(SPM) for figure registration which has far fewer singularity problems than 3-D models. Here we extend it in a 2-D cardboard human body model with additional one DOF of width change. Based on this modified 2-D model rather than 3-D model in Bregler and Malik's work, we also set up a mixture motion model for body movements and then solve motion parameters of the articulated body using EM in a statistical framework, where the model-based kinematic constraints are incorporated in a linear form. Tracking results from real video sequences are encouraging.
Original language | English (US) |
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Pages (from-to) | 332-344 |
Number of pages | 13 |
Journal | Zidonghua Xuebao/Acta Automatica Sinica |
Volume | 29 |
Issue number | 3 |
State | Published - May 2003 |
Keywords
- 2-D articulated motion
- Body tracking
- Expectation-maximization
ASJC Scopus subject areas
- Software
- Information Systems
- Control and Systems Engineering
- Computer Graphics and Computer-Aided Design