A Super-Fast Online Face Tracking System for Video Surveillance
- Xiaosong Lan ,
- Zhiwei Xiong ,
- Wei Zhang ,
- Shuxiao li ,
- Hongxing Chang ,
- Wenjun Zeng
International Symposium on Circuits and Systems |
Published by IEEE - Institute of Electrical and Electronics Engineers
In this paper, we propose a novel and practical system for robust online face tracking in surveillance videos. The proposed system has two contributions: 1) sustained high performance for long-term tracking even when faces come in and out of the view frequently, and 2) extremely low complexity which allows for real-time deployment on various platforms. These advantages are achieved by designing a regular update framework based on a state-of-the-art face detector and a new histogram-assisted KLT (HAKLT) tracker. Experimental results demonstrate a superior and super-fast (>100fps) practical face tracking system.
© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.