Research and analysis small infrared object detection track algorithm and its image processing technology

In order to realize infrared small object track detection, the paper analyses the principle of the target tracking detection, the technology combining Mean Shift track algorithm and image processing is proposed. According to the principle, every tache of detection system is analyzed, and then the optic detection model is set up. The detection model of dynamic object is set up. The paper analyses the image principal of optic system, study the key technology of Mean Shift track algorithm, and uses the optic image system to obtain the image of infrared small object. Base on analyzing the characteristic of the infrared small image, the neighborhood averaging method and the Sobel edge detection algorithm is applied to process and calculate the image in the complex environment, so the clear edge image is obtained. Finally, combining optic image system and computer processing technology to judge the place of target, the infrared object is tracked. The calculating and analysis result is showed that the technology can meet the track and detection in definite condition.