A svm-based vehicle retrograde detection device and detection method
A detection method and vehicle technology, applied in the traffic control system of road vehicles, character and pattern recognition, instruments, etc., can solve problems such as secondary traffic accidents, abnormal traffic events that cannot be well predicted, and serial car collisions. To achieve the effect of improving the accuracy
Active Publication Date: 2019-02-15
OB TELECOM ELECTRONICS
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However, the traditional video surveillance system mainly monitors special locations such as the main traffic arterial roads, bridges, and tunnel entrances in the city, and often only sees a small part of the road conditions, and cannot predict sudden and strong abnormalities on the road well. Traffic incidents can easily lead to secondary traffic accidents, such as serial car collisions, etc.
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[0031] The present invention will be further described below with reference to the drawings and specific embodiments.
[0032] Such as figure 2 As shown, the structure diagram of the SVM-based vehicle retrograde detection device of the present invention.
[0033] Vehicle retrograde detection device includes: camera, lighting module.
[0034] The camera contains:
[0035] 1. CCD image acquisition module;
[0036] 2. The ARM control module transmits the images collected by the CCD image acquisition module to the DSP processing module for processing, and processes the returned results of the DSP module;
[0037] 3. DSP processing module: receive the image from the ARM control module, and pass it into the SVM-based vehicle retrograde detection circuit for vehicle retrograde detection, or use the traditional retrograde detection circuit for detection, and send the returned result back to the ARM control module.
[0038] The lighting module adopts LED lights. When the brightness is low in the...
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The invention provides a vehicle converse running detection device and method based on SVM. A classifier is innovatively used for detecting vehicle converse running. Classification is conducted through the combination with various characteristics including gravity centers, speeds, accelerated speeds, areas, perimeters, the minimum external rectangles and the like, on tracks, of vehicles, and the classification accuracy can be effectively improved. Considering that the probability of converse running happening on roads is generally low, in order to obtain more converse running samples, forward running samples are innovatively used as the converse running samples after the sequence is inverted and are then combined with original samples, the converse running samples are effectively supplemented, and the problem that the number of positive samples and the number of negative samples are not even can be effectively solved.
Description
Technical field [0001] The invention relates to an abnormal behavior analysis technology in the field of intelligent traffic monitoring, and in particular to an SVM-based vehicle retrograde detection device and detection method. Background technique [0002] In recent years, the rapid development of my country's economy has led to rapid progress in infrastructure construction, especially the rapid development of transportation technology that has further promoted the development of my country's economy. However, the traditional video surveillance system mainly monitors special locations such as main traffic arteries, bridges, and tunnel entrances in the city, and often only sees a small part of the road, and cannot well predict sudden and strong abnormalities on the road. Traffic incidents can easily lead to secondary traffic accidents, such as serial car collisions. It has become a bottleneck restricting the development of my country's transportation technology. Intelligent vi...
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IPC IPC(8): G06K9/62G06K9/00G08G1/056
Inventor 石旭刚张水发刘嘉杜雅慧欧阳忠清汤泽胜
Owner OB TELECOM ELECTRONICS