Lens shielding discrimination method based on semantic analysis
A technology of lens occlusion and discrimination method, applied in the field of image recognition, can solve problems such as difficulty in discriminating lens occlusion, and achieve the effect of eliminating the interference of meaningless features, reducing the demand for data volume, and fast convergence.
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[0034] Embodiment one, see Figure 1-Figure 2 , the present invention is achieved through the following technical solutions: a method for discriminating lens occlusion based on semantic analysis, comprising the following steps:
[0035] S1, collecting an occlusion data set, marking the monitoring area and occlusions of the surveillance camera, and training a target detection network according to the occlusion data set;
[0036] The details are as follows: First, mark a batch of monitoring scene image data sets, mark the main monitoring area of the camera, and train the target detection network so that it can robustly detect the monitoring area;
[0037] Add occluder labels to the above data set and continue training so that the model can detect occluders;
[0038] S2. Use the trained target detection network to detect the monitoring screen; use the target detection algorithm Faster-RCNN to detect the position, size and appearance of the "monitoring area" and the occluder, a...
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