Traffic volume estimation method and system based on deep network
A deep network and traffic technology, applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve problems such as poor effect, poor accuracy and real-time performance of detection and tracking methods, and achieve The effect of overcoming difficulties
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Embodiment 1
[0040] Such as figure 1 As shown, this embodiment provides a method for estimating traffic volume based on a deep network, which utilizes the powerful capabilities of a deep network to extract vehicle features in complex traffic scenarios, so as to improve the accuracy of vehicle spatiotemporal position positioning and traffic volume estimation; At the same time, a method of converting the traffic video into a space-time map by estimating the traffic section of the traffic flow volume is proposed, so that the deep network can be applied in the estimation of the traffic flow volume; finally, based on the traffic video and the trained deep network, the online, High-precision traffic volume estimation.
[0041] A method for estimating traffic volume based on a deep network provided in this embodiment, such as figure 1 As shown, it is mainly divided into four parts: the formation of space-time graph based on traffic section, the construction and training of deep network, the loca...
Embodiment 2
[0083] The present embodiment provides a traffic volume estimation system based on a deep network, which specifically includes the following modules:
[0084] A spatio-temporal map generation module configured to: acquire traffic video and generate a spatio-temporal map;
[0085] A density map generation module, which is configured to: input the space-time map into the trained deep network for traffic fluid volume estimation to obtain a density map;
[0086] A counting module configured to: use a density map-based post-processing algorithm to locate the spatio-temporal position of the vehicle in the traffic flow, and obtain a total counting result;
[0087] A traffic volume estimation module configured to: calculate a traffic volume estimate based on the total count result.
[0088] It should be noted here that each module in this embodiment corresponds to each step in Embodiment 1, and the specific implementation process is the same, so it will not be repeated here.
Embodiment 3
[0090] This embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in a method for estimating traffic volume based on a deep network as described in the first embodiment above are implemented .
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