A method of face detection with deep models for patrol videos

Baozhi Jia; Ming Zhu

doi:10.1117/12.2197009

6 July 2015 A method of face detection with deep models for patrol videos

Baozhi Jia, Ming Zhu

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96311B (2015) https://doi.org/10.1117/12.2197009
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

Common face detection methods may fail in videos captured by patrol cars for the low resolution and uncooperative situation. We proposed a method to handle this problem with a parts-based deep model. Different parts of human bodies are detected for improving the accuracy of face detection in this method. A deep neural network is used for combining the detections of different parts. Experiments were conducted on two different datasets. The results demonstrate that the proposed method outperforms existing common face detection methods.

Citation Download Citation

Baozhi Jia and Ming Zhu "A method of face detection with deep models for patrol videos", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311B (6 July 2015); https://doi.org/10.1117/12.2197009

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