Single target tracking method in low illumination video based on computer vision

Aiming at the problem that the single target tracking effect of low illumination video is poor, a low illumination video single target tracking method based on computer vision is proposed. The computer vision processing algorithm is used to enhance the video image, and the sharpening components in the images at all levels are controlled by parameters to suppress the high-frequency noise of low illumination video. In order to better expand the dynamic range of the overall gray level of the enhanced image, this paper adopts an improved computer vision method to adjust the contrast of the video image, so as to achieve the requirements of low illumination video but target tracking. Finally, from the simulation results, it can be seen that the low illumination video single target tracking method based on computer vision has better integrity and accuracy, and the short-term occlusion of moving targets can achieve a better tracking effect.