DocumentCode :
557780
Title :
Biologically inspired detection for temporal texture motion
Author :
Sun, Bin ; Qin, Kaiyu
Author_Institution :
Inst. of Astronaut. & Aeronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1305
Lastpage :
1309
Abstract :
Motion detection has always been a challenge for computer vision. A large variety of algorithms have been proposed for diverse form applications. Nevertheless, the traditional approaches are mainly based on brightness cues, or rather task-driven. Inspired by biological vision theory, in this paper, a novel second order motion detector is proposed for computer vision applications. The proposed implementation effectively utilizes the high-order motion information, rather than mere luminance pattern. Preliminary tests are conducted on both artificial and natural scenes. The results demonstrate that the proposed second order motion detector can capture effective information from a representative high motion instance, e.g., the temporal texture motion, and thorough analysis suggests that the bio-plausible exploiture may bring some new advantage to image processing practice.
Keywords :
computer vision; image motion analysis; image texture; biological vision theory; biologically inspired detection; computer vision; high-order motion information; image processing practice; temporal texture motion detection; Band pass filters; Biology; Brightness; Computer vision; Detectors; Gabor filters; Visualization; second order motion detector; temporal texture motion; texture grabber;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100480
Filename :
6100480
Link To Document :
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