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Proceedings Paper

Real-time approach to recognizing the human face in poor-quality video
Author(s): Zhaoyang Chen; Guilin Zhang; Ming Jiang
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Paper Abstract

This paper focuses on an effective face recognition algorithm of poor quality video data and its real-time implementation. As the fundamental step of our approach, a fast face detection method based on color information is presented. Instead of performing a pixel-based color segmentation on each single face image, we incorporate color information into a face detection scheme based on spatio-temporal filtering in image sequences, which can reduce the noises in surveillance video. Our face recognition method is based on principal component analysis (PCA) that is fairly effective and fast for surveillance video in comparison with feature-based methods. For the training set, a large database of numerous face images of each subjects, digitized at the condition of three head orientations is setup. We use separate eigenspaces for different views of head orientations, so that the collection of images taken from each view of head orientations will have its own eigenspace. For real-time implementation, a automatic face detection and recognition system with TI Digital Signal Processor(DSP) TMS320C6201 is described.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441479
Show Author Affiliations
Zhaoyang Chen, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)
Ming Jiang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition

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