Traffic flow detection method, device and equipment
By performing vehicle detection and matching processing on the videos of the areas to be detected in the urban road network, accurately calculate the traffic flow, the problem of inaccurate traffic detection in the existing technology is solved, and the effective operation of intelligent transportation systems is supported.
CN119649615APending Publication Date: 2025-03-18DATANG MOBILE COMM EQUIP CO LTD
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Patent Information
- Application Number
- CN202311202884.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-18
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
The existing technology is difficult to achieve accurate detection of traffic flow, which affects the effective operation of intelligent transportation systems.
Method used
By obtaining videos of the area to be detected within the target period, performing vehicle detection processing, obtaining sub-images of each vehicle, and matching the sub-images of adjacent images to determine whether the vehicle is the same, thereby calculating the traffic volume.
Benefits of technology
It realizes accurate detection of traffic flow, can effectively support the operation of intelligent transportation systems, and improves the traffic capacity of urban road networks.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a traffic flow detection method, device and equipment, and the method comprises the steps: obtaining a video of a to-be-detected region in a target time period, and enabling the video to comprise a plurality of images which are sequentially adjacent according to the time sequence; for any image in the plurality of images, performing vehicle detection processing on the image to obtain sub-images respectively corresponding to each vehicle in the image; matching processing is carried out on the sub-images corresponding to every two adjacent images in the multiple images, a matching result between every two adjacent images is obtained, and the matching result is used for indicating whether the same vehicle is included in the every two adjacent images or not; and determining the traffic flow of the to-be-detected area in the target time period according to the sub-images corresponding to the plurality of images and the matching result. According to the scheme, accurate detection of the traffic flow is realized.
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