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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7294

Title: 2D upper human body pose modelling using windowing and template matching techniques
Authors: R. Porle, Rosalyn
Chekima, A.
F., Wong
Sainarayanan, G.
???metadata.dc.contributor.url???: rosalynrporle@yahoo.com.my
Keywords: Human body;Image processing;Image processing -- Digital techniques;Image analysis -- Data processing;Human body -- Image processing
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.2A7 1 - 2A7 6
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Abstract: This paper presents the upper human body pose modelling using windowing and template matching techniques. Indoor image sequences are used as input. Silhouette and colour features are extracted in the human body parts detection stage. The head and torso pose are estimated using windowing technique. Meanwhile the upper and lower arms are estimated using template matching technique. Each body part is represented by rectangular shape where its sizes depend on the predetermined approximation. The proposed techniques are tested using 30 image sequences from different users. These techniques can overcome self-occlusion, hand crossing and it is adaptive to illumination changes.
Description: Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/7294
Appears in Collections:Conference Papers

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