Taxi violation behavior detection method based on deep learning

Abstract

The invention provides a taxi illegal behavior detection method based on deep learning, and the method comprises the steps: collecting and recognizing an environment image of a region, obtaining a taxi on a road surface of the region, analyzing a target image of the taxi on the environment image, obtaining the position relation information between the taxi and a road surface reference object, and carrying out the detection of the illegal behavior of the taxi. According to the vehicle appearance state information of the taxi and the environment state information of the area nearby the taxi, judging whether the taxi has illegal behaviors or not; according to the invention, the public camera is used to monitor the taxis on the road automatically and comprehensively, the shot images are learned and analyzed, the actual state of each taxi is determined, whether the taxis have the violation behavior is accurately judged, and the traffic management center platform is used to determine the traffic violation behavior of the taxis. In this way, the taxi can be managed reliably and comprehensively, and the illegal behaviors of the taxi can be preserved in time according to evidences.

Description

technical field [0001] The invention relates to the technical field of vehicle monitoring and management, in particular to a method for detecting illegal behavior of taxis based on deep learning. Background technique [0002] At present, in order to pick up passengers, taxi drivers wait for customers in no-parking areas or stop at random to solicit customers on the roadside, which can easily lead to road congestion or traffic accidents. In the prior art, the traffic police conduct investigations on the above-mentioned taxi behaviors, so that the illegal behaviors of taxis can be reduced to a certain extent. However, the manpower of the traffic police is limited after all, and it is impossible to discharge all road sections in a comprehensive and timely manner, so that the illegal behavior of taxis cannot be effectively eliminated, the reliability and accuracy of car rental management are reduced, and the illegal behavior of taxis cannot be effectively eliminated. Maintain t...

AI Technical Summary

Problems solved by technology

However, the manpower of the traffic police is limited after all, and it is impossible to discharge all road sections in a comprehensive and timely manner, so that it is impossible to effectively prevent the illegal behavior of taxis, reduce the reliability and accuracy of car rental management, and it is also impossible to prevent illegal behaviors of taxis. Keep evidence in a timely manner

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