With the development of aerospace science and technology,the application of computer vision algorithms on satellites is in the ascendant.In order to achieve more functional requirements and deal with possible threats,visual target tracking is a fundamental but challenging task.However,most existing algorithms only operate on pure image sequences.On the other hand,restricted by hardware conditions,few excellent algorithms are applied to satellite-borne embedded systems because of their high complexity.These pure object tracking algorithms usually need to artificially give the bounding box of the object.To get the bounding box automatically,an object detection algorithm is necessary.We propose an integrated detection and tracking algorithm for single target based on saliency detection and correlation filtering, which achieves 24 fps on DSP TMS320C6678 for the resolution of 2 048 pixel×2 048 pixel.The detection algorithm is responsible for preprocessing the image and obtaining the bounding box,then the object tracking algorithm gives the position of the object in the subsequent frames. In order to verify the effectiveness of our algorithm during the actual tracking,in this research,we build an optical platform consisting of a camera,DSP and Pan/Tilt/Zoom(PTZ) and test it.In this system,the DSP automatically completes the tasks of detection,tracking,driving the PTZ and re-detection,and achieves good results of detection and tracking.