DocumentCode :
459898
Title :
Multi-passageway Information Processing Mechanism and Application in Vision Tracing
Author :
Liu, Jinyue ; Li, Tiejun ; Zhao, Haiwen ; Zhou, Bo
Author_Institution :
Lab. of Precision Meas. Technol., Tianjin Univ.
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
904
Lastpage :
910
Abstract :
Inspired by principle of human vision system, the multi-passageway parallel processing mechanism was introduced and used in the research on robot vision tracing. After the analysis of human vision system, a new object tracking approach simulating human vision is presented in this paper. This method uses color, shape and moving information, which are three main features of moving objects in a multi-passageway parallel processing way, and the result is obtained by synthesizing the output information of each passageway. A new contour extraction method is proposed by the concept of recept field (RF), and the model of ´on´ RF is used in object´s shape information processing. Some tracking experiments using this approach have been done on a multifunctional experiment platform. Comparing with traditional serial processing mechanism, the results of tracking experiments showed that this method could improve the image processing speed and precision in a great degree
Keywords :
ray tracing; robot vision; contour extraction method; multi-passageway information processing mechanism; object tracking approach; robot vision tracing; traditional serial processing mechanism; Analytical models; Color; Humans; Information processing; Machine vision; Parallel processing; Parallel robots; Radio frequency; Robot vision systems; Shape; human vision system; information synthesizing; multi-passageway; parallel processing; vision tracing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
Type :
conf
DOI :
10.1109/ICMA.2006.257745
Filename :
4026205
Link To Document :
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