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Proceedings Paper

Spatiotemporal frequency analysis for motion perception
Author(s): Gopalan Ravichandran; Mohan M. Trivedi
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Paper Abstract

The world we live in is in constant motion: an agent who wishes to interact with the environment must be able to interpret visual motion. Motion information is extracted by identifying the temporal signature associated with the textured objects in the scene. In this paper, we present a new computational framework for motion perception. Our methodology considers spatiotemporal frequency domain analysis to extract the optical flow information. Using a mathematical description of a moving texture pattern in the 3D x-y-t space (an x-y image moving along time t), we formulate a computational framework for motion perception. A detailed analytical description of this model and results to highlight and evaluate their salient properties are presented.

Paper Details

Date Published: 22 June 1994
PDF: 12 pages
Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); doi: 10.1117/12.179032
Show Author Affiliations
Gopalan Ravichandran, Univ. of Tennessee/Knoxville (United States)
Mohan M. Trivedi, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 2233:
Sensor Fusion and Aerospace Applications II
Nagaraj Nandhakumar, Editor(s)

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