Automatic highway parking detection method and device
A highway and automatic detection technology, applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of unable to detect abnormal parking events stably and effectively, complex and changeable weather conditions, long highway mileage, etc., to achieve Reduce false positives, improve accuracy, and improve accuracy
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Embodiment 1
[0039] Embodiment 1, the automatic detection method of parking on the expressway.
[0040] Refer to attached figure 1 .
[0041] The automatic detection method of the present invention is as figure 1 As shown, it specifically includes the following steps:
[0042] step 1:
[0043] In the specified expressway monitoring scene, set the detection area where parking is prohibited and the parking alarm time threshold; multiple closed detection areas can be set, and different parking alarm time thresholds can be set for different detection areas;
[0044] Step 2:
[0045] Target detection, to detect the foreground target in the scene;
[0046] First, establish a Gaussian background model;
[0047] Secondly, compare the current frame image with the background image, and if it conforms to the distribution of the background model, it is considered as the background, otherwise it is the foreground, thereby binarizing the current frame image;
[0048]
[0049] Among them, f t ...
Embodiment 2
[0077] Embodiment 2, an automatic detection device for parking on the expressway.
[0078] Refer to attached figure 2 .
[0079] The automatic detection device of the present invention is used for the above detection method, and specifically includes an image acquisition module 1, a rule setting module 2, a target detection module 3, a target tracking module 4, a trajectory analysis module 5 and a model update module 6, the image acquisition module 1 For collecting images and changes thereof in the monitoring scene on the expressway, the rule setting module 2 is used to set detection rules in step 1 of embodiment 1, and the target detection module 3 is used in step 2 of embodiment 1 Detecting the foreground target in the monitoring scene, the target tracking module 4 is used to track the detected foreground target in step 3 of embodiment 1, and the track analysis module 5 is used to track the detected foreground target in step 4 of embodiment 1 The trajectory of the foregro...
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