Vehicle video recognition method and application thereof

Abstract

The invention provides a vehicle video recognition method. The vehicle video recognition method comprises the following steps of decoding video data of a monitoring device and separating data frames to form image data of each frame of videos; performing vehicle license plate recognition to each frame of images and building a video image vehicle license plate recognition coinciding degree list; calculating probabilistic list data of a vehicle license plate recognized from continuous adjacent frames of images and locking vehicle license plate information in videos; calibrating vehicle license plate recognition accuracy again according to the vehicle license plate recognized in the videos of the monitoring device and accordingly acquiring accurate vehicle recognition effect. The vehicle video recognition method aims at fully applying the existing monitoring device, further finishing perspective mastering of monitored video information, improving effective data utilization of public security department, security and protection department, traffic department, traffic police department and the like, improving automation degree and resource utilization rate, building an intelligentized monitoring application platform for recognition, analysis, application and aid decision making and with the monitoring device as an intelligentized node.

Description

technical field

[0001] The invention relates to a road vehicle identification and monitoring method, in particular to a vehicle video identification method and an application of the vehicle video identification method. Background technique

[0002] Since the early 1980s, when the first batch of surveillance systems were installed in Tiananmen Square in Beijing, China's security industry has experienced a development process of introduction, imitation, digestion and absorption, and innovation. After 30 years of development, China's security companies have experienced the era of analog monitoring, digital monitoring, and IP network monitoring, and are developing towards the era of high-definition intelligence.

[0003] In the composition of China's security industry, video surveillance accounts for a large proportion, accounting for about 55%, access control accounts for 15%, anti-theft alarm accounts for 12%, and other categories account for 18%. Therefore, the intelligent ap...

Examples

Embodiment

[0041] A vehicle video recognition method, comprising the following steps:

[0042] 1. Decode the video data of the monitoring equipment, and separate the data frames to form the image data of each frame of video. In short, the video is a continuous combination of multiple frames of images. The present invention converts the original continuous frames in the monitoring video, Split into independent images, so as to facilitate subsequent identification of vehicle information on a single image;

[0043] 2. Carry out vehicle license plate recognition processing for each frame of image, and establish a matching list of video image license plate recognition, that is, perform vehicle license plate and other information recognition processing on the split single image in the surveillance video, and identify the results according to After the distribution of the possibility is sorted, it is stored in the license plate information list. The list is as follows;

[0044] List of matchin...

technical field

[0001] The invention relates to a road vehicle identification and monitoring method, in particular to a vehicle video identification method and an application of the vehicle video identification method. Background technique

[0002] Since the early 1980s, when the first batch of surveillance systems were installed in Tiananmen Square in Beijing, China's security industry has experienced a development process of introduction, imitation, digestion and absorption, and innovation. After 30 years of development, China's security companies have experienced the era of analog monitoring, digital monitoring, and IP network monitoring, and are developing towards the era of high-definition intelligence.

[0003] In the composition of China's security industry, video surveillance accounts for a large proportion, accounting for about 55%, access control accounts for 15%, anti-theft alarm accounts for 12%, and other categories account for 18%. Therefore, the intelligent ap...

Examples

Embodiment

[0041] A vehicle video recognition method, comprising the following steps:

[0042] 1. Decode the video data of the monitoring equipment, and separate the data frames to form the image data of each frame of video. In short, the video is a continuous combination of multiple frames of images. The present invention converts the original continuous frames in the monitoring video, Split into independent images, so as to facilitate subsequent identification of vehicle information on a single image;

[0043] 2. Carry out vehicle license plate recognition processing for each frame of image, and establish a matching list of video image license plate recognition, that is, perform vehicle license plate and other information recognition processing on the split single image in the surveillance video, and identify the results according to After the distribution of the possibility is sorted, it is stored in the license plate information list. The list is as follows;

[0044] List of matchin...

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