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2009 WRI World Congress on Computer Science and Information Engineering
A Dynamic Tracing Algorithm Based High Speed Camera
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
A Dynamic Tracing Algorithms for the detection of industrial sewing machines on images sequences from a high-speed camera is presented. First, feature extraction is completed with the Harris Corner Detection Algorithms based on the change of intensity; Then the prediction of the move tendency of the corners with Extended Kalman Filter is accomplished; By using of the Neighborhood Matching Algorithms the paths of the component tracked is obtainable finally . The Harris Corner Detection Algorithms has the properties of translation, rotation and scaling invariance and high precision, the Neighborhood Matching Algorithms has the advantage of low computational complexity , the combination with Extended Kalman Filter increase the efficiency and the accuracy of the system. Experimental results show that it have a good performances in the problem proposed.
Index Terms:
Dynamic Tracing Algorithms, Neighborhood Matching Algorithms, Harris Corner Detection, Extended Kalman Filter
Citation:
Baobao Wang, Lingzhi Chen, Yang Xiao, "A Dynamic Tracing Algorithm Based High Speed Camera," csie, vol. 3, pp.135-138, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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