Performance Evaluation Method of Moving Object Detection Algorithms Based on Visual Perception
A technology of moving objects and detection algorithms, applied in the field of image processing, can solve the problems of inconvenient performance objective judgment, inability to objectively evaluate performance, etc.
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[0050] Step 1. According to the standard detection picture A (provided by the Wallflower data set, as a standard reference), the number of standard foreground points Nu is obtained, and then the algorithm detection picture B (picture detected by the moving object detection algorithm) and the standard detection picture The number of correct foreground points TP detected by the algorithm and the number FP of background points misjudged as foreground points are obtained by one-to-one correspondence between the pixels of A; Nu is the number of pixels in the target position area in the standard detection picture A; TP is the number of target points detected in the target position area of the corresponding standard detection picture A in the algorithm detection picture B; FP is the number of target points detected in the background position area of the corresponding standard detection picture A in the algorithm detection picture B; The closer the value of TP is to the value of A,...
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