A Dynamic Tracing Algorithm Based High Speed Camera

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.