Spatiotemporal frequency analysis for motion perception

Gopalan Ravichandran; Mohan M. Trivedi

doi:10.1117/12.179032

22 June 1994 Spatiotemporal frequency analysis for motion perception

Gopalan Ravichandran, Mohan M. Trivedi

Proceedings Volume 2233, Sensor Fusion and Aerospace Applications II; (1994) https://doi.org/10.1117/12.179032
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Gopalan Ravichandran and Mohan M. Trivedi "Spatiotemporal frequency analysis for motion perception", Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); https://doi.org/10.1117/12.179032

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available