Citation

Ng, Hu (2014) Multi-view gait-based human identification with automatic joint detection. PhD thesis, Multimedia University.

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Abstract

This research work proposes a joint detection approach to detect locations of body joint automatically by applying a priori knowledge of body proportion. The joint detection approach does not attempt to detect each lower limb of a human, so it can detect the body joints even from self-occluded silhouettes or those occluded by apparel (long blouses or baggy trousers) or bags (handbag or rucksack). In this research work, an improved perspective correction technique to normalize oblique-view walking sequences to side-view plane has been developed. The silhouettes from oblique-view walking sequences are vertical and horizontal adjusted to fit the sideview.

Item Type:	Thesis (PhD)
Additional Information:	Call No.: TK7882.B56 N44 2014
Uncontrolled Keywords:	Biometric identification
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	23 Feb 2015 10:17
Last Modified:	12 Apr 2023 07:56
URII:	http://shdl.mmu.edu.my/id/eprint/5989

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