Method for distinguishing parked vehicle from falling object

Abstract

The invention discloses a method for distinguishing a parked vehicle from a falling object and belongs to the field of traffic. The method comprises the following steps: determining a suspicious region where a parked vehicle or a falling object may occur in a video image, and specifically judging the condition in the suspicious region. According to the method disclosed by the invention, an acquired video image is processed, and a projection area of an object main body corresponding to a track is compared with the projection area of a preset vehicle after the condition that the track of the parked vehicle or the falling object exists in the video image is judged, so the object main body in the video image is a parked vehicle or a falling object is judged, the problem of poor detection accuracy caused by loss of height information of the object during dimensionality reduction of an existing detection technology can be avoided, and the detection accuracy can be improved.

Description

technical field [0001] The invention relates to the traffic field, in particular to a method for distinguishing parked vehicles and thrown objects. Background technique [0002] With the development of the economy, the number of private cars is increasing rapidly. While the number of vehicles is increasing, illegal phenomena such as illegal parking of vehicles and illegal throwing of objects are also increasing, which will lead to traffic accidents. [0003] In the existing technology, the detection of the above-mentioned illegal phenomena mainly includes radar, infrared, ultrasonic, video, etc. Compared with other detection technologies, video detection technology has a wide coverage area, high detection accuracy, large amount of information, and flexible detection. And other characteristics are more and more widely used in the detection field. [0004] In the process of realizing the present invention, the inventor finds that there are at least the following problems in ...

AI Technical Summary

Problems solved by technology

[0005] When detecting illegal phenomena, video detection technology is mainly based on two-dimensional images. Since illegal acts occur in three-dimensional space, there will be a dimensionality reduction process from three-dimensional to two-dimensional in the processing process, which will lead to detection The loss of target height information reduces the accuracy of detection results

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