Real time face detection system based edge restoration and nested K-means at frontal view

Joo, Hyun Jea and Jang, Bong Won and Bashar, Md. Rezaul and Rhee, Phill Kyu (2006) Real time face detection system based edge restoration and nested K-means at frontal view. In: 3rd International Conference on Fuzzy Systems and Knowledge Discovery , 24-28 Sept 2006, Xi'an, China.

Abstract

Bayesian technique is a popular tool for object detection due to its high efficiency. As it compares pixel by pixel, it takes a lot of execution time. This paper addresses a novel framework for head detection with minimum time and high accuracy. To detect head from motion pictures, motion segmentation algorithm is employed. The novelty of this paper carried out with the following steps: frame differencing, preprocessing, detecting edge lines and restoration, finding the head area and cutting the head candidate. Moreover, nested K-means algorithm is adopted to find head location and statistical modeling is employed to determine face or non-face class, while Bayesian Discriminating Features (BDF) method is employed to verify the faces. Finally, the proposed system is carried out with a lot of experiments and a recognizable success is notified


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 24 May 2010 06:07
Last Modified: 02 Jul 2013 23:55
Uncontrolled Keywords: edge detection; face recognition; image segmentation; motion pictures; object recognition; statistical methods; Bayesian technique; motion segmentation algorithms; object detection; real time face detection systems
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1007/11881599_148
URI: http://eprints.usq.edu.au/id/eprint/8148

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