A target vehicle driving track extraction device and method based on video structured monitoring

A technology of target vehicles and driving trajectories, which is applied in measuring devices, satellite radio beacon positioning systems, image analysis, etc., can solve the problems of insufficient visual display, monotonous application scenarios, and difficulty in realization, so as to reduce the time spent manually watching videos, Improve application efficiency and improve performance effects

Active Publication Date: 2019-06-28
郑州信大先进技术研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the cost of retrofitting smart cameras for network cameras and high-definition cameras is huge, and it is difficult to achieve in the short term.
There is also the problem that the application scene of video structure is monotonous, and the display effect is not intuitive enough

Method used

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  • A target vehicle driving track extraction device and method based on video structured monitoring
  • A target vehicle driving track extraction device and method based on video structured monitoring
  • A target vehicle driving track extraction device and method based on video structured monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] as attached figure 1 - attached Figure 4 As shown, a target vehicle trajectory extraction device based on video structured monitoring, including a video acquisition device, an intelligent processing device, a cloud analysis service device and a front-end monitoring display device;

[0058] The video acquisition device is connected to the intelligent processing device and the front-end monitoring and display device respectively, and is used to transmit the video stream data collected in real time for road intersection monitoring to the intelligent processing device and the front-end monitoring and display device;

[0059] The intelligent processing device is connected to the cloud analysis service device, and is used to convert the video stream data into video structured text data and key video frame data, and transmit them to the cloud analysis service device;

[0060] The cloud analysis service device is connected with the front-end monitoring and display device, and...

Embodiment 2

[0086] The difference between this embodiment and Embodiment 1 is: when the extracted structured data of the target vehicle is sufficient, it is ensured that the target vehicle has structured key video frame pictures captured at each intersection, and when drawing the driving track of the target vehicle:

[0087] as attached Figure 5 And attached Image 6 As shown, if the video acquisition device collects the video stream data monitored by the target vehicle at each intersection of the road in real time, according to the mapping of the structured key video frame data in the urban road network, the trusted path of the target vehicle's driving trajectory is sequentially connected .

Embodiment 3

[0089] The difference between this embodiment and Embodiment 1 is: when drawing the driving track of the target vehicle:

[0090] as attached Figure 7 And attached Figure 8 As shown in , if the video stream data monitored at certain intersections on the road is missing, according to the mapping of some structured key video frame data in the urban road network, the trusted paths that cannot obtain the target vehicle's driving trajectory are sequentially connected;

[0091] Then, according to the shortest path algorithm, the shortest time path algorithm and the optimal path algorithm, the suspected path of the target vehicle trajectory is obtained.

[0092] That is to say, when the extracted structured data of the target vehicle is not sufficient, it cannot be guaranteed that the target vehicle has structured key video frame pictures captured at each intersection due to various accidents such as missing cameras and damage, and the driving trajectory analysis When there are m...

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Abstract

The invention provides a target vehicle driving track extraction device and method based on video structured monitoring, and the method comprises the steps: 1, enabling a video obtaining device to collect the video stream data of road intersection monitoring in real time, and transmitting the video stream data to an intelligent processing device; 2, enabling the intelligent processing device to extract video structured text data and key video frame data associated with the video structured text data; 3, enabling a user to send a retrieval request to a cloud analysis service device through a front-end monitoring display device; 4, enabling the cloud analysis service device to confirm a target vehicle according to the retrieval request, and retrieve video structured text data and associatedkey video frame data of the target vehicle in an appointed time period; generating a driving track of the target vehicle; and step 5, enabling the front-end monitoring display device to display the driving track of the target vehicle. The method has the advantages of being scientific in design, high in practicability, high in searching efficiency and capable of saving labor cost.

Description

technical field [0001] The invention relates to the technical field of rapid drawing of target vehicle trajectory, in particular to a device and method for extracting target vehicle trajectory based on video structured monitoring. Background technique [0002] The video surveillance system has experienced the continuous development of the analog monitoring stage, the digital monitoring stage, and the network monitoring stage. It has been closely related to people's daily life and has become an important direction in the security field. In the 21st century, with the continuous maturity of Internet of Things, machine learning, artificial intelligence and other technologies, the field of video surveillance has entered the era of intelligent video surveillance represented by video structure. [0003] Although the current nationwide video surveillance network has basically been laid, the quality of the surveillance cameras is uneven, the amount of surveillance video is huge, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G01S19/42
Inventor 王坤叶森张刚孙先友
Owner 郑州信大先进技术研究院
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