Real-time optical flow computation based on adaptive color quantization by competitive neural networks

Manuel Grana Romay; Imanol Echave

doi:10.1117/12.360295

26 August 1999 Real-time optical flow computation based on adaptive color quantization by competitive neural networks

Manuel Grana Romay, Imanol Echave

Proceedings Volume 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision; (1999) https://doi.org/10.1117/12.360295
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

In this paper we prose the application of the codebook computed by the Self Organizing Map as a smoothing filter, the QV Bayesian Filter, for the preprocessing of the image sequences. The optical flow is then robustly and efficiently computed over the filtered imags applying a correlation approach at the pixel level.

Citation Download Citation

Manuel Grana Romay and Imanol Echave "Real-time optical flow computation based on adaptive color quantization by competitive neural networks", Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); https://doi.org/10.1117/12.360295

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