Introduction - If you have any usage issues, please Google them yourself
Characteristics to overcome the traditional target recognition methods in dealing with space distribution of the shortcomings of the highly complex data, proposed a decision tree-based multi-feature detection algorithm, and apply it to video-based maritime search and rescue target detection. The algorithm first extracts the image in the color, brightness, and other information, decision trees, established by the information gain to calculate the characteristics of the rescue target detection problem is decomposed into three layers of the decision tree classification. experiments show that the algorithm can improve the efficiency of the multi-feature object detection in the lifeboat, to obtain better results in the raft and maritime search and rescue of target detection applications.