Article thumbnail
Location of Repository

Multi-Pose Face Tracking Using Particle Filter and Checklist

By 王凱民 and Kai-Ming Wang

Abstract

[[abstract]]Automatic and robust detection and tracking of faces is essential in the surveillance application, especially when the main targets are about people. In this research, we propose a novel multi-pose face tracking method. Our method is based on the Condensation algorithm with modified transition and likelihood function. A dynamic update structure, called Checklist, is designed to help identify the current face post from the target history and for storing the latest face. Furthermore, template-matching-based algorithm is used to recover lost face during tracking. Experimental results show that the proposed algorithm can deal with the change of poses and illumination. It is also able to extract target face information even when the tracking is lost for whatever reason.

Topics: 多視角的人臉追蹤;粒子濾波, multi-pose face tracking;particle filter, [[classification]]42
Year: 2011
OAI identifier: oai:ir.lib.ntnu.edu.tw:309250000Q/74325
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://ir.lib.ntnu.edu.tw/ir/h... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.