DocumentCode :
255539
Title :
Human detection based on explicit skin colour space thresholding and minor motion detection
Author :
Joshi, D. ; Purwar, A. ; Dasgupta, M.S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Birla Inst. of Technol. & Sci., Pilani, India
fYear :
2014
fDate :
11-13 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a novel approach for human presence detection from digital image is presented. This approach is based on combined clue from skin colour and minor motion detection. For skin colour detection, explicit thresholding of CbCr colour channels is used and for minor motion detection morphological differences of multiple consecutive images has been used. MATLAB® is used for processing. Relatively small part of exposed human body in the frame of an image is sufficient for detection. The approach is computationally efficient, potentially real time and robust. The combined technique gives improved performance compared to each individual technique. Location of the object (human) within the frame is also simultaneously identified.
Keywords :
image classification; image colour analysis; image segmentation; motion estimation; object detection; skin; Matlab; colour channels; digital image; explicit skin colour space thresholding; explicit thresholding; human body; human detection; human presence detection; minor-motion detection; multiple consecutive images; object location identification; performance improvement; skin colour detection; Algorithm design and analysis; Classification algorithms; Image color analysis; Lighting; MATLAB; Motion detection; Skin; MATLAB®; colour channels; human presence detection; image segmentation; motion detection; skin colour identification; temporal differencing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
Type :
conf
DOI :
10.1109/INDICON.2014.7030518
Filename :
7030518
Link To Document :
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