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


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

Full text not available from this repository.
Official URL:


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


Downloads per month over past year

View ItemEdit (login required)