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Conference Paper Human Body Parts Candidate Segmentation using Laws Texture Energy Measures with Skin Color
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Authors
Byeongcheol Choi, Seungwan Han, Byungho Chung, Jaecheol Ryou
Issue Date
2011-02
Citation
International Conference on Advanced Communication Technology (ICACT) 2011, pp.556-560
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
This paper presents a novel human body parts segmentation method using Laws texture energy measures with skin color in YCbCr. The proposed segmentation is used in the candidate detection phase of human body part recognition. Therefore, this work can be widely applied to face detection, person layout detection, contents filtering, and privacy protection.
KSP Keywords
Body Part Recognition, Energy measures, Face detection, Human body, LAWS texture, Texture energy, privacy protection, segmentation method, skin color