Video structure-based vehicle congestion analysis method and system, terminal and storage medium
A technology of video structure and analysis method, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve the problems of unloadable traffic flow, waste of space, and increase in quantity, so as to improve user experience and method Simple, accurate, and simple-to-equip effects
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Embodiment 1
[0045] see figure 1 , which is a schematic diagram of the process of obtaining vehicle pictures and structured information provided by the embodiment of the present invention. In the first aspect, the embodiment of the present invention provides a method for analyzing road congestion based on video structure, including the following steps:
[0046] S101, acquiring real-time videos of at least two adjacent intersections of non-intersection road sections;
[0047] In the specific implementation, the roads on which vehicles travel extend in all directions, and the roads are divided into intersection road sections and non-intersection road sections according to whether the road intersects with other roads. Among them, the non-intersection road section is the road section where the road the vehicle is driving does not intersect with other roads, and the vehicle's driving direction can be uniquely determined; the intersection road section is the road section where the road the vehi...
Embodiment 2
[0098] The embodiment of the present invention provides a road congestion analysis system based on video structure. The system in this embodiment may include:
[0099] A first acquiring unit, configured to acquire real-time video of at least two adjacent intersections of non-intersection road sections;
[0100] The extraction unit is used to decode the real-time video respectively, and use a structured recognition algorithm to extract the structured information of the vehicle in the real-time video and intercept the picture of the vehicle. The structured information includes the direction of vehicle movement, license plate information, and vehicle color , one or more of the car type, brand, sub-brand, car annual inspection label, and car accessories;
[0101] a storage unit, configured to respectively store the vehicle picture and the structured information;
[0102] The second acquisition unit is used to acquire the total quantity of structured information saved at each non...
Embodiment 3
[0151] see image 3 , a schematic block diagram of a terminal 300 provided by another embodiment of the present invention. The terminal 300 in this embodiment as shown in the figure may include: one or more processors 301 ; one or more input devices 302 , one or more output devices 303 and a memory 304 . The aforementioned processor 301 , input device 302 , output device 303 and memory 304 are connected through a bus 305 . The memory 302 is used to store instructions, and the processor 301 is used to execute the instructions stored in the memory 302 . Wherein, the processor 301 is configured to execute: acquiring real-time videos of at least two adjacent intersections of non-intersection road sections; decoding the real-time videos respectively, extracting the structured information of the vehicles in the real-time videos respectively by using a structured recognition algorithm and Intercept the vehicle picture, the structured information includes one or more of vehicle move...
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