NDLI: 3D ellipsoid fitting for multi-view gait recognition

Content Provider	IEEE Xplore Digital Library
Author	Sivapalan, S. Chen, D. Denman, S. Sridharan, S. Fookes, C.
Copyright Year	2011
Description	Author affiliation: Image and Video Research Laboratory, Queensland University of Technology, GPO Box 2434, 2 George St., Brisbane, 4001, Australia (Sivapalan, S.; Chen, D.; Denman, S.; Sridharan, S.; Fookes, C.)
Abstract	Gait recognition approaches continue to struggle with challenges including view-invariance, low-resolution data, robustness to unconstrained environments, and fluctuating gait patterns due to subjects carrying goods or wearing different clothes. Although computationally expensive, model based techniques offer promise over appearance based techniques for these challenges as they gather gait features and interpret gait dynamics in skeleton form. In this paper, we propose a fast 3D ellipsoidal-based gait recognition algorithm using a 3D voxel model derived from multi-view silhouette images. This approach directly solves the limitations of view dependency and self-occlusion in existing ellipse fitting model-based approaches. Voxel models are segmented into four components (left and right legs, above and below the knee), and ellipsoids are fitted to each region using eigenvalue decomposition. Features derived from the ellipsoid parameters are modeled using a Fourier representation to retain the temporal dynamic pattern for classification. We demonstrate the proposed approach using the CMU MoBo database and show that an improvement of 15–20% can be achieved over a 2D ellipse fitting baseline.
Starting Page	355
Ending Page	360
File Size	787783
Page Count	6
File Format	PDF
ISBN	9781457708442
e-ISBN	9781457708459
e-ISBN	9781457708435
DOI	10.1109/AVSS.2011.6027350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Solid modeling Hidden Markov models Feature extraction Three dimensional displays Probes Ellipsoids
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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