Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.572
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.
Dynamic Tracing Algorithms, Neighborhood Matching Algorithms, Harris Corner Detection, Extended Kalman Filter
B. Wang, Y. Xiao and L. Chen, "A Dynamic Tracing Algorithm Based High Speed Camera," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 135-138.