Title :
Human body parts candidate segmentation using Laws texture energy measures with skin color
Author :
Choi, ByeongCheol ; Han, SeungWan ; Chung, ByungHo ; Ryou, Jaecheol
Author_Institution :
Inf. Security Res. Div., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
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.
Keywords :
image colour analysis; image recognition; image segmentation; image texture; skin; candidate detection phase; chrominance; content filtering; face detection; human body part recognition; illumination intesity; image segmentation; person layout detection; privacy protection; skin color; texture energy measures; Convolution; Energy measurement; Filtering; Image color analysis; Image segmentation; Multimedia communication; Skin; Human Body Parts; Image Segmentation; Laws Texture Energy Measures; Skin Color Detection; YCbCr;
Conference_Titel :
Advanced Communication Technology (ICACT), 2011 13th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8830-8
