Multiview face detection based on position estimation over multicamera surveillance system

Ching-chun Huang; Jay Chou; Jia-Hou Shiu; Sheng-Jyh Wang

doi:10.1117/12.908167

9 February 2012 Multiview face detection based on position estimation over multicamera surveillance system

Ching-chun Huang, Jay Chou, Jia-Hou Shiu, Sheng-Jyh Wang

Proceedings Volume 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI; 830411 (2012) https://doi.org/10.1117/12.908167
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

In this paper, we propose a multi-view face detection system that locates head positions and indicates the direction of each face in 3-D space over a multi-camera surveillance system. To locate 3-D head positions, conventional methods relied on face detection in 2-D images and projected the face regions back to 3-D space for correspondence. However, the inevitable false face detection and rejection usually degrades the system performance. Instead, our system searches for the heads and face directions over the 3-D space using a sliding cube. Each searched 3-D cube is projected onto the 2-D camera views to determine the existence and direction of human faces. Moreover, a pre-process to estimate the locations of candidate targets is illustrated to speed-up the searching process over the 3-D space. In summary, our proposed method can efficiently fuse multi-camera information and suppress the ambiguity caused by detection errors. Our evaluation shows that the proposed approach can efficiently indicate the head position and face direction on real video sequences even under serious occlusion.

Citation Download Citation

Ching-chun Huang, Jay Chou, Jia-Hou Shiu, and Sheng-Jyh Wang "Multiview face detection based on position estimation over multicamera surveillance system", Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 830411 (9 February 2012); https://doi.org/10.1117/12.908167

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available