| Paper: | IMDSP-P1.2 | ||
| Session: | Motion/Disparity Detection and Estimation | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Motion Detection and Estimation | ||
| Title: | A VLSI-Implementation-Friendly Ego-Motion Detection Algorithm based on Edge-Histogram Matching | ||
| Authors: | Jia Hao, Tadashi Shibata, University of Tokyo, Japan | ||
| Abstract: | An ego-motion detection algorithm compatible to hardware implementation has been developed. The algorithm utilizes local motion detection scheme based on edge-histogram matching, which enables us to detect local motions robustly in segmented blocks in a visual field. An 18-dimension motion field vector is generated by summarizing local motions. Then the vector quantization is carried out to recognize the ego-motion. In order to achieve further robustness, two thresholding techniques, block thresholding and median processing, are employed in the procedure. In computer simulation, over 93 % of detecting accuracy has been experimentally demonstrated by template matching using 30 template vectors generated from each of four ego-motion types. | ||
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