The Human Action Image

Recognizing a person's motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recognizing human actions. We develop a novel descriptor, the Human Action Image (HAI): a physically-significant, compact re...

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Bibliographic Details
Main Authors: Sethi, R J, Roy-Chowdhury, A K
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Humans
Image recognition
Physics
Probes
Shape
Tracking
Online Access:Request full text
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Summary:Recognizing a person's motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recognizing human actions. We develop a novel descriptor, the Human Action Image (HAI): a physically-significant, compact representation for the motion of a person, which we derive from first principles in physics using Hamilton's Action. We embed the HAI as the Motion Energy Pathway of the latest Neurobiological model of motion recognition. The Form Pathway is modelled using existing low-level feature descriptors based on shape and appearance. Experimental validation of the theory is provided on the well-known Weizmann and USF Gait datasets.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.896