Bus-mounted video passenger OD analysis system, method and device and storage medium
A technology for in-vehicle video and analysis systems, applied in image analysis, neural learning methods, image data processing, etc., can solve problems such as low efficiency, insufficient accuracy, and long passenger identification cycles, and achieve easy deployment, high accuracy, and benefits. The effect of marketing
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specific Embodiment approach 1
[0047] Specific implementation mode one: the OD analysis system of the passenger on the bus video, such as figure 1 As shown, it includes a data acquisition module, a target tracking module, a state determination module, a neural network training module, a GPS data capture module, and a matching and association module; each module performs data transmission in turn, and the data acquisition module obtains and implements the bus video stream and performs data initialization. The video stream information is monitored and tracked by the target tracking module, and the tracked information is accessed by the state determination module. The accessed information is extracted through the algorithm included in the neural network training and the pedestrian re-identification data set is called. At the same time, the captured bus GPS data is stored in the database together with the GPS data capture module, and finally the matching and association module analyzes the passenger travel OD throu
specific Embodiment approach 2
[0059] Specific implementation mode two: In addition to the above-mentioned accurate OD analysis of bus passengers based on the system, this embodiment will combine figure 2 , illustrate that the present embodiment realizes the method for the bus passenger OD analysis based on vehicle video, and concrete steps are as follows:
[0060] S1, real-time encoding and decoding of bus video streams through intelligent edge computing devices:
[0061] Real-time encoding and decoding of bus video streams through intelligent edge computing devices includes: Intelligent edge computing devices are widely used in the industry due to their advantages of light weight, small size, low power consumption, strong computing power, and low cost. Take the NVIDIA Jetson Xavier NX carrier board as an example , it can communicate with the bus camera through the USB interface or WIFI technology, obtain multi-channel bus video streams in real time, and support various video codec formats such as , and its
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