Multi-view gait-based human identification with automatic joint detection

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
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: 23 Feb 2015 10:17
URII: http://shdl.mmu.edu.my/id/eprint/5989

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