Vehicle abnormal behavior detection method based on Hidden Markov Model

A detection method and vehicle technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as failure to recognize abnormal behavior of vehicles

Inactive Publication Date: 2013-08-07
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

[0007] The technical problem mainly solved by the present invention is to provide a vehicle abnormal behavior detection method based on the hidden Markov model, which solves the problem that the traffic video monitoring system in the prior art cannot identify the abnormal behavior of the vehicle, and can obtain a better traffic behavior expression model , Realize real-time monitoring of vehicle abnormal behavior

Method used

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  • Vehicle abnormal behavior detection method based on Hidden Markov Model
  • Vehicle abnormal behavior detection method based on Hidden Markov Model
  • Vehicle abnormal behavior detection method based on Hidden Markov Model

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Embodiment

[0090] In the offline training process, first obtain the vehicle trajectory in the scene through motion tracking, and then use the pattern learning method to obtain the scene behavior rules. The specific steps are as follows:

[0091] (1) Extract the start-stop direction vector from the space-time trajectory obtained by vehicle tracking. The trajectory points of the moving target are generated according to a certain time sequence, so they have timing and directionality. At the same time, since the trajectory has a beginning, it also has an end, and is constrained by the road structure and traffic rules. association. The present invention changes the previous method of separately counting the starting and ending areas, and uses the growth direction vector of the trajectory to cluster, not only can obtain the corresponding start-end area combination, but also provide guidance for the subsequent trajectory space clustering. Therefore, the trajectory direction vector is extracted...

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Abstract

The invention relates to a vehicle abnormal behavior detection method based on Hidden Markov Model. The method includes of a, video images collection: utilizing cameras across above roads or standing on two sides of the roads to collect video images; b, track acquirement: extracting and following the tracks of target vehicles in scenes through the collected video images to acquire vehicle tracks; c, off-line training: clustering growth direction characteristics of the tracks, acquiring typical track groups through error screening process, studying the Hidden Markov Model with the tracks of the same growth direction to acquire a normal behavior mode in the scene; and d, real-time detection: extracting new tracks, calculating the maximum matching probability value of the new tracks and the normal behavior mode, and if the acquired maximum matching probability value is smaller than a set threshold value, judging the vehicles to have abnormal behaviors. Vehicle abnormal behaviors in the scene can be effectively recognized and the technological means can be provided to traffic behavior understanding and intelligent transportation system management.

Description

technical field [0001] The invention relates to the field of moving object detection, in particular to a method for detecting abnormal behavior of a vehicle based on a hidden Markov model, which is a method for detecting abnormal behavior of a moving vehicle by learning the trajectory pattern of the moving vehicle. Background technique [0002] With the rapid development of the automobile industry and urbanization, the number of automobiles in cities in my country has increased rapidly. In recent years, the construction of transportation infrastructure carrying a huge amount of motor vehicles has also made great achievements. However, the huge funds for building roads and bridges, the construction period and the strict restrictions on urban space make the pace of construction obviously unable to keep up with the growth of motor vehicles and urbanization. process development. A series of traffic problems such as traffic congestion and traffic accidents are becoming more and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00
Inventor 林国余蔡英凤王海张为公
Owner SOUTHEAST UNIV
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