On a face detection with an adaptive template matching and an efficient cascaded object detection

Authors:
Jin Ok Kim;Jun Yeong Jang;Chin Hyun Chung
Affiliations:
Faculty of Multimedia, Daegu Haany University, Gyeongsangbuk-do, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

We present a method for a template matching and an efficient cascaded object detection. The proposed method belongs to wide criteria which can regard to the “feature-centric”. Furthermore, the proposed cascade method has some merits to the face changes. The proposed method for an object detection uses to find the object to most approach better than to find the object to correspond completely. Therefore, this method can use to detect the many faces mixed with different objects. We expect that the result of this paper can be contributed to develop more detection methods and recognition system algorithm.