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

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KEYWORDS

Motion estimation

Fourier transforms

Image segmentation

Image filtering

Motion detection

Motion analysis

Visualization

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