NDLI: View Independent Gait Identification Using a Particle Filter

Content Provider	IEEE Xplore Digital Library
Author	Emoto, M. Hayashi, A. Suematsu, N. Iwata, K.
Copyright Year	2006
Description	Author affiliation: Hiroshima City University, Japan (Emoto, M.; Hayashi, A.; Suematsu, N.; Iwata, K.)
Abstract	We challenge the human identification problem from the perspective of gait and body shape. Conventional methods depend on the camera viewing direction, and since they are based on matching image silhouettes or features their identification accuracy is low when there is a big difference between the camera viewing direction of the test and training data. Thus, if a person is walking in an arbitrary direction, they may not be accurately identified. In this paper, we propose a novel method that does not depend on the camera viewing direction. We develop a state space model called a "cyclic motion model" whose state variables are not only the phase of the motions but also the camera viewing direction. We learn model parameters for each candidate person, and represent their walking with the cyclic motion model. To identify a person from the observed image sequence, we first compute the model likelihoods for the sequence using a particle filter that represents a probability distribution by a set of weighted samples, We then identify the person from model likelihoods.
Starting Page	74
Ending Page	74
File Size	533378
Page Count	1
File Format	PDF
ISBN	0769526888
DOI	10.1109/AVSS.2006.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-22
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Shape Humans Training data Cameras Particle filters State-space methods Image sequences Distributed computing Testing
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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