An abnormal event detection and early warning system based on target abnormal behavior trajectory analysis
An abnormal event and early warning system technology, applied in the field of traffic monitoring, can solve problems such as inability to provide early warning, low detection accuracy, and undetectable types of certain events, so as to improve monitoring accuracy and reduce the incidence of accidents
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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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