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Intelligent video traffic monitoring system based on multi-viewpoints and its method

A traffic monitoring and multi-view technology, which is applied in closed-circuit television systems, traffic flow detection, etc., can solve problems such as the inability to correctly infer the three-dimensional size and type of vehicles, the inability to correct vehicle occlusion phenomena, and the inability to predict vehicle information. Monitoring accuracy, strong predictability, and the effect of ensuring traffic

Inactive Publication Date: 2007-11-21
无锡易斯科电子技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing technology, a single camera is mostly used to obtain two-dimensional information, and the three-dimensional size and vehicle type of the vehicle cannot be correctly inferred; and due to the different angles and heights of the cameras, the range of roads that may be observed by each viewpoint is different. , resulting in insufficient occlusion of the target vehicle and insufficient measurement accuracy, and the inability to correct the vehicle occlusion phenomenon; in addition, the information of the video network cannot be shared, resulting in each video system being unable to predict the information of the upcoming vehicle

Method used

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  • Intelligent video traffic monitoring system based on multi-viewpoints and its method
  • Intelligent video traffic monitoring system based on multi-viewpoints and its method
  • Intelligent video traffic monitoring system based on multi-viewpoints and its method

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Experimental program
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specific Embodiment 1

[0048] Specific embodiment 1 video group

[0049] The main task of the video group is to monitor the individual information of the vehicle, including the uniform number of the monitored vehicle, vehicle location, lane, speed, size, color and track information.

[0050] As shown in Figure 2, it is the video group schematic diagram of the intelligent traffic monitoring system of the present invention, and the present embodiment is illustrated with an intersection as an example, and 4 video groups 11, 12, 13, 14 are set on the intersection, each Each video group includes a video information acquisition unit 1011, an image processing unit 1012, and an information network transmission unit 1013. Three cameras are set in the video information acquisition unit of each video group. Of course, in practical applications, the camera in the video information acquisition unit can be set at any point on the road, and can also include any number of cameras. Each camera is a video informati...

specific Embodiment 2

[0087] Specific embodiment 2: video group

[0088] The video group is used to dynamically transfer the individual information of the vehicles monitored by the video group, and the video groups in each video group share information through their respective information network transmission units to achieve object prediction and wide-area full-range monitoring functions .

[0089] After the video group is added to the road planning information, cameras with different monitoring ranges and directions can be aggregated into a video group (camera cluster) according to the direction of vehicle travel. The main function of the video group is to hand over the individual information of the vehicles monitored by the video group, so as to achieve object prediction and wide-area full-range monitoring. Figure 8 shows a schematic diagram of a video group. Please refer to Figure 2 at the same time. If the video group 11 detects a small blue car on the left-turn lane with a speed of 10km / h, ...

specific Embodiment 3

[0092] Specific embodiment 3: video network

[0093] The highest level in the structure of the present invention is the video network. The video network is the highest-level information exchange platform. For the wide-area video network (camera network), individual vehicle information is no longer used as shared information, which will greatly facilitate the construction of the network. The main control function of the video network is realized by the traffic information management unit 300 of the video network. The video network traffic information management unit 300 extracts the video information of the video group and the video group, and these information include the traffic flow of each road section, the average passing speed of vehicles, the average distance between vehicles, the road occupancy rate, etc. Please refer to Fig. 1 again, the video network traffic information The management unit 300 summarizes the information sent by the video group 101 into global informa...

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Abstract

An intelligent video traffic monitor system based on multi-viewpoint comprises three-layer structure of video group and video cluster as well as video network. Its monitoring method includes dividing traffic area of global road to be three-layer structure of video group and video cluster as well as video network and then carrying out monitor by utilizing said system based on prepared three-layer structure.

Description

technical field [0001] The invention relates to an intelligent traffic monitoring method and system, in particular to a multi-viewpoint-based intelligent video traffic monitoring system and method. Background technique [0002] With the progress of society, cars have gradually become a necessary means of daily life. However, the social problems caused by the large increase in the number of automobiles, such as environmental pollution caused by automobile exhaust emissions, traffic congestion, traffic accidents, etc., have become the most important problems faced by countries all over the world. Various basic data related to road traffic, such as the number of passing vehicles per unit time, the average passing speed of vehicles, the average distance between vehicles, and road occupancy, etc., are currently mainly obtained through "point sensors" such as ultrasonic waves, radars, and piezo coils. The main video sensor to acquire. "Point sensor" mainly measures local informa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01H04N7/18
Inventor 胡振程内村圭一刘富强欧阳骏胡金麟
Owner 无锡易斯科电子技术有限公司
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