Title :
A Vlsi-Implementation-Friendly EGO-Motion Detection Algorithm Based on Edge-Histogram Matching
Author :
Hao, Jia ; Shibata, Tadashi
Author_Institution :
Dept. of Frontier Inf., Tokyo Univ.
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
Keywords :
VLSI; image matching; image motion analysis; vector quantisation; 18-dimension motion field vector; VLSI-implementation-friendly ego-motion detection algorithm; block thresholding; edge-histogram matching; median processing; template matching; vector quantization; Circuits; Data mining; Detection algorithms; Frequency estimation; Hardware; Image edge detection; Motion detection; Motion estimation; Robustness; Very large scale integration;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660325
