Capture of meaningful faces from motion images

Ke Li; Bing Sun; Yuncai Liu

doi:10.1117/12.867502

19 August 2010 Capture of meaningful faces from motion images

Ke Li, Bing Sun, Yuncai Liu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200S (2010) https://doi.org/10.1117/12.867502
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Ke Li, Bing Sun, and Yuncai Liu "Capture of meaningful faces from motion images", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200S (19 August 2010); https://doi.org/10.1117/12.867502

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