NDLI: A physics-based stochastic framework for activity recognition and analysis

Content Provider	IEEE Xplore Digital Library
Author	Sethi, R.J. Roy-Chowdhury, A.K.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, University of California, Riverside, Riverside, CA, USA (Roy-Chowdhury, A.K.) \|\| Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA (Sethi, R.J.)
Abstract	The Neurobiological model of motion recognition posits a Motion Energy Pathway and a Form Pathway but leaves the mechanism for Integration open. In this paper, we present a stochastic Integration methodology, based on the Hamiltonian Monte Carlo, which explores both the Motion and Form space by creating data-driven proposals in the image/form space which are then confirmed in the motion space. We start by using the image (or form) information, which can be shape, texture, colour, or other image properties, to create the proposals. These proposals are then combined with the video tracks to explore the joint motion and form space. To do this, we use a physics-based Hamiltonian via the Hamiltonian Energy Signature to represent a video sequence which is then used in the Hamiltonian Monte Carlo framework to efficiently explore the combined space. Thus, the enormity of the overall search space is reduced by making these more informed proposals. In addition, our framework has potential application to other domains where statistical sampling techniques are useful.
Starting Page	1632
Ending Page	1638
File Size	457203
Page Count	7
File Format	PDF
ISBN	9781457707148
e-ISBN	9784907764395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE (The Society of Instrument and Cont
Subject Keyword	Proposals Trajectory Markov processes Databases Joints Shape Tracking Motion Analysis Stochastic Sampling Computational Intelligence
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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