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Proceedings Paper

A method of face detection with deep models for patrol videos
Author(s): Baozhi Jia; Ming Zhu
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Paper 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.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311B (6 July 2015); doi: 10.1117/12.2197009
Show Author Affiliations
Baozhi Jia, Univ. of Science and Technology of China (China)
Ming Zhu, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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