Weak and small moving target detection method based on superpixel adjacent frame feature comparison
A feature comparison and moving target technology, applied in the field of image processing, can solve the problems of high false alarm rate and low detection efficiency
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[0041] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:
[0042] The present invention proposes a weak and small moving target detection method based on superpixel adjacent frame feature comparison, comprising the following steps: Step 1: using the SLIC algorithm (simple linear iterative cluster, simple linear iterative clustering algorithm) for the target frame image to realize superpixel segmentation ; Step 2: According to the adjacency relationship of superpixels, generate a graph theory model, design superpixel features, calculate the feature difference between each superpixel, use the feature difference as the boundary value in the graph theory model, and use the graph segmentation algorithm to realize Potential target extraction; step 3: compare the color features of adjacent frames in the potential target area, and if the color feature difference exceeds the set threshold, it will be marked as a moving target.
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