Improved LCT Tracking Algorithm Based on Feature Fusion
摘要
To address the poor tracking performance of the LCT algorithm when the target is in deformation or fast moving,a tracking algorithm based on feature fusion is proposed.Based on the Histogram of Oriented Gradient(HOG) feature correlation filtering,the target and background color histogram features are extracted to obtain the target prediction position of the color feature.On the basis,the feature fusion weight is determined according to the tracking confidence.Tracking results are obtained by considering gradient features and color features.Experimental results show that compared with the LCT algorithm,the distance accuracy and overlap accuracy of the algorithm are increased by 11.5% and 21.2%,respectively,and the average center position error is reduced by 15.3 pixels.