Fast adaptation method for traffic video monitoring target detection based on machine vision
A technology for video surveillance and target detection, applied in instruments, computer parts, character and pattern recognition, etc., can solve problems such as large time and labor costs, affecting the wide application of traffic video intelligent detection technology, and difficulty in realizing it.
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[0037]The traffic video monitoring system is composed of three parts: camera, monitoring equipment and background server, and its working method is as follows:
[0038] The traffic video captured by the camera is transmitted to the monitoring device and the background server, and two initial classifiers with good detection performance are trained, which are used in the monitoring device to detect the traffic video surveillance target in the actual scene, and are carried out on the background server at the same time The update of the classifier, so the initial classifier must not only ensure that the initial monitoring process can provide high-precision detection results, but also ensure the credibility of the sample labels newly added to the sample library during the co-training semi-supervised learning process .
[0039] In the monitoring equipment, these two classifiers are used to detect the traffic video surveillance target in the initial stage. When the detection results ...
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