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Proceedings Paper

Capture of meaningful faces from motion images
Author(s): Ke Li; Bing Sun; Yuncai Liu
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Paper Abstract

There is an increasing need and demand for automatic, efficient and reliable key information extraction from the video in industrial engineer. The face is one kind of the key information and usually the image is not clear in low-cost real-time surveillance system. The definition of the image mostly depends on the energy of the high frequency. The Fast Fourier Transform (FFT) and the Discrete Wavelet Transform (DWT) are two excellent transform tools. This paper proposes a method using FFT and DWT to analyze the face definition in motion images. The proposed method consists of three steps. Firstly, we preprocess the image by Histogram equalization and morphology. Secondly, we processes face detection and tracking. Finally, we capture the clearest face. We compare FFT with DWT, and experimental results show that DWT base on Bior3.1 is the most efficient.

Paper Details

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200S (19 August 2010); doi: 10.1117/12.867502
Show Author Affiliations
Ke Li, Shanghai Jiao Tong Univ. (China)
Bing Sun, Shanghai Jiao Tong Univ. (China)
Yuncai Liu, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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