Human Body Parts Detection Using YCbCr Color Space

Skin color is proved to be very useful technique for human body parts detection. The detection of human body parts using skin color has gained so much attention by many researchers in various applications especially in person tracking, search and rescue. In this paper, we propose a method for detecting human body parts using YCbCr color spaces in color images. The image captured in RGB format will be transformed into YCbCr color space. This color model will be converted to binary image by using color thresholding which contains the candidate human body parts like face and hands. The detection algorithm uses skin color segmentation and morphological operation.

[1]  Jake K. Aggarwal,et al.  Human detection using depth information by Kinect , 2011, CVPR 2011 WORKSHOPS.

[2]  Junaidi Abdullah,et al.  Adaptive skin color model for hand segmentation , 2010, 2010 International Conference on Computer Applications and Industrial Electronics.

[3]  C. P. Sumathi,et al.  A survey of techniques for human detection in static images , 2012, CCSEIT '12.

[4]  Jaecheol Ryou,et al.  Human body parts candidate segmentation using Laws texture energy measures with skin color , 2011, 13th International Conference on Advanced Communication Technology (ICACT2011).

[5]  Chang-Tsun Li,et al.  Skin Colour-Based Face Detection in Colour Images , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[6]  Dana Kulic,et al.  Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images , 2011, 2011 Canadian Conference on Computer and Robot Vision.

[7]  Yi Yang,et al.  Skin Region Tracking Using Hybrid Color Model and Gradient Vector Flow , 2010, 2010 International Conference on Machine Vision and Human-machine Interface.

[8]  Arturo de la Escalera,et al.  Contrast invariant features for human detection in far infrared images , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[9]  Alvaro Soto,et al.  Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot , 2007, CIARP.

[10]  Qiong Liu,et al.  A robust skin color based face detection algorithm , 2010, 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010).