During the movement of the target, we want to stabilize the target in the fixed region of the image. However, with inherent noise in this region, the information of the target on the image will be lost when the target enters this region. Besides, when there are other disturbances in the field of view, it will be more difficult to stabilize the target in the region with inherent noise. To solve this problem, we propose a tracking method to stabilize the target in the region of inherent noise in an image. We use multi-level filter detection method to detect the target in the image and obtain the position information of the target. Then according to the first 3 frames of images, the linear weighted sum value of the features and the motion trajectory of the target are estimated, and they are updated constantly in the process of tracking. The experimental results show that the tracking method has good performance in real-time, stability and anti-interference.
When the small targets are dim and with dark-spots interference in infrared images, the targets can not be accurately detected by multi-level filter. In order to solve this problem, the dark-spots filtering algorithm based on contrast suppression is added to the original multi-level filter for detecting small dim targets. First, the result of difference image based on the low-pass filtered image and the original image preserves the information of the targets and dark-spots at the same time. Second, the difference image and the original image are superimposed to remove dark-spots, according to the inhibitory factor determined by the contrast between dark-spots and background. Finally, the targets are enhanced by using Gamma correction. The experimental results demonstrate that the algorithm enhances the targets, removes dark-spots, and suppresses the background of false detection, so the multi-level filter adding the proposed method can effectively detect small dim targets.
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