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|Title:||Motion detection algorithms using template model|
|Citation:||Electronics and structures for MEMS II : 17-19 December, 2001, Adelaide, Australia / Neil W. Bergmann (ed.), pp. 78-90|
|Publisher:||THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERING|
|Publisher Place:||PO BOX 10 BELLINGHAM WASHINGTON USA|
|Series/Report no.:||Proceedings of SPIE--the International Society for Optical Engineering ; 4591.|
|Conference Name:||Electronics and Structures for MEMS II (2nd : 2001 : Adelaide, Australia)|
|Hung Nguyen, Sreeja Rajesh, and Derek Abbott|
|Abstract:||The Horridge Template model is an empirical motion detection model inspired by insect vision. This model has been successfully implemented in several micro-sensor VLSI chips using grayscale pixels. The template model is based on movement of detected edges rather than the whole object, which consequently facilitates simple tracking techniques. Simple tracking algorithms developed by Nguyen have been successful in tracking coherent movement of objects in a simple environment. An extension of the template model using color templates developed by Chin has also been successful in tracking objects moving in close proximity to each other. This paper introduces a low-cost insect vision prototype based on the use of a color CMOS camera. We implement a further extension to the above algorithms with error checking. Several error-checking schemes are used during template formation and manipulation to reduce noise and randomness. This enables the detection of moving objects in noisy environments, which may be applied to many real life situations.|
|Rights:||© 2003 COPYRIGHT SPIE--The International Society for Optical Engineering|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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