@inproceedings{lan2016a,
author = {Lan, Xiaosong and Xiong, Zhiwei and Zhang, Wei and li, Shuxiao and Chang, Hongxing and Zeng, Wenjun},
title = {A Super-Fast Online Face Tracking System for Video Surveillance},
booktitle = {International Symposium on Circuits and Systems},
year = {2016},
month = {May},
abstract = {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.},
publisher = {IEEE - Institute of Electrical and Electronics Engineers},
url = {http://approjects.co.za/?big=en-us/research/publication/a-super-fast-online-face-tracking-system-for-video-surveillance/},
edition = {International Symposium on Circuits and Systems},
}