期刊论文、会议论文

Zhao, Hui-huang

英文

2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018)

2018

1-7

11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

OCT 13-15, 2018

Beijing, PEOPLES R CHINA

[Zhao, Hui-huang] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.^[Zhao, Hui-huang;Zheng, Jin-Hua] Hunan Prov Key Lab Intelligent Informat Proc & Ap, Hengyang, Hunan, Peoples R China.^[Liu, Han] Cardiff Univ, Sch Comp Sci & Informat, Cardiff, S Glam, Wales.^[Fu, Bin] Univ Texas Rio Grande Valley, Dept Comp Sci, Edinburg, TX USA.

IEEE, IEEE Engn Med & Biol Soc, Beijing Univ Chem Technol, Beijing Inst Technol, E China Normal Univ

Li, W Li, Q Wang, L

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-7604-2

10.1109/CISP-BMEI.2018.8633095

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61503128]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [14B02, 16C0311]; Science and Technology Plan Project of Hunan Province [2016TP1020]; Hunan Provincial Natural Science FoundationNatural Science Foundation of Hunan Province [2017JJ4001]; Subject group construction project of Hengyang Normal Universtiy [18XKQ02]

本校为第一且通讯机构

This paper presents an occlusion robust tracking (ORT) method for multiple faces tracking. Given a video having multiple faces, we firstly detect faces in the first frame using the off-the-shelf face detector, and then extract wavelet packet transform (WPT) coefficients and color features from the detected faces, finally we design a back propagation (BP) neural network and track the faces by a particle filter and BP neural network. The main contribution is twofold. Firstly, the WPT coefficients combined with traditional color features is utilized to face tracking. It efficiently describes face...