Abnormal event detection and early warning system based on analysis of target abnormal behavior trajectory

An abnormal event and trajectory analysis technology, applied in the field of traffic monitoring, can solve problems such as inability to warn in advance, inability to detect some event types, and low detection accuracy.

Active Publication Date: 2019-11-19
河北德冠隆电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For this reason, the embodiment of the present invention provides an abnormal event detection and early warning system based on target abnormal behavior trajectory analysis to solve

Method used

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  • Abnormal event detection and early warning system based on analysis of target abnormal behavior trajectory
  • Abnormal event detection and early warning system based on analysis of target abnormal behavior trajectory
  • Abnormal event detection and early warning system based on analysis of target abnormal behavior trajectory

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Embodiment 1

[0035] refer to figure 1, this embodiment discloses an abnormal event detection and early warning system based on target abnormal behavior trajectory analysis, including: a target behavior trajectory acquisition device, a PTZ camera 2 and a server 3, after the target behavior trajectory acquisition device acquires the target behavior trajectory The real-time data is transmitted to the server 3, and the server 3 performs real-time analysis and processing on the data sent by the target behavior collection device, and the server 3 compares the real-time data through the trained abnormal event alarm model, and detects that there is an abnormality in the target behavior or trajectory Then send warning message, described cloud platform camera 2 collects the image of abnormal event area to confirm warning information, the road real-time picture that cloud platform camera 2 collects is stored in the server, and described server 3 sends the warning message after verification to Monitor...

Embodiment 2

[0045] This embodiment discloses an abnormal event detection and early warning system based on target abnormal behavior track analysis, refer to figure 2 , when a parking or throwing or falling event occurs in area C. Affecting the normal passage of the vehicles behind, the vehicles coming from behind will choose to change lanes to avoid the current obstacles, and may just change lanes without slowing down. A single vehicle lane change is not used as a judgment condition. If the pre-set continuous vehicles have this behavior at the same time, for example, two connected vehicles are changing lanes in this area, and the comparison is made by comparing the judgment output alarm data model set in the database. Judging and analyzing the trajectory of normal vehicle driving and lane changing behavior, this behavior is used as a judgment comparison condition.

[0046] The server 3 judges that a special event occurs here, triggers an event alarm and simultaneously drives the pan-til...

Embodiment 3

[0049] This embodiment discloses an abnormal event detection and early warning system based on target abnormal behavior track analysis, refer to image 3 , the slow lane vehicles in the large database of vehicle driving status are trucks and large buses. When there is no car in the short distance in front of the slow lane in area C, and two or more large vehicles are driving into the fast lane at the same time, and the second large vehicle in the rear similarly brakes and follows the lane change while changing lanes. Then there may be falling obstacles in the current area C, causing many vehicles behind to change lanes to avoid. The radar sensor 1 transmits the vehicle lane change data to the server 3, and the server 3 compares the lane change data with the vehicle normal driving state data in the large vehicle driving state database, and can determine that there may be abnormal events in the slow lane C area.

[0050] The server 3 triggers an event alarm and simultaneously d...

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Abstract

Embodiments of the invention provide an abnormal event detection and early warning system based on analysis of a target abnormal behavior trajectory. The system includes a target behavior trajectory acquisition device, a PTZ camera and a server. The target behavior trajectory acquisition device acquires a behavior trajectory of a target and then transmits real-time data to the server, the server performs comparison on the real-time data by a trained abnormal event alarm model, an alarm message is sent when it detects that a target behavior or trajectory is abnormal, the PTZ camera collects animage of an area where an abnormal event occurs to confirm the alarm message, a real-time picture of a road collected by the PTZ camera is stored in the server, the server sends the verified alarm message to a monitoring center, and the monitoring center confirms the alarm message sent by the server and displays the alarm message to give an alarm to the public or a third-party system. The system solves the problems that the detection precision of an existing abnormal event detection system is low, a part of event types cannot be detected, and early warning cannot be performed in advance.

Description

technical field [0001] The embodiments of the present invention relate to the field of traffic monitoring, and in particular to an abnormal event detection and early warning system based on the analysis of abnormal behavior tracks of targets. Background technique [0002] Existing road abnormal event detection equipment or systems have many shortcomings such as insufficient detection accuracy and inability to detect and alarm some event types, such as road subsidence, landslides, obstacles on the road, or undetectable dangerous events, etc. At present, there are many kinds of event detection technologies in the transportation field, which are used to detect whether there are abnormal events or dangerous situations in roads, bridges, tunnels, or vehicles in areas. For example, video event detection system based on video graphic analysis or video structure, radar event detection system based on millimeter wave radar target tracking technology, laser radar event detection syste...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/00G08G1/04G08G1/16G08B25/00G06Q50/26
CPCG06Q50/26G08B25/006G08G1/0133G08G1/04G08G1/164G08G1/205
Inventor 冯保国
Owner 河北德冠隆电子科技有限公司
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