A surveillance video analysis method and device
A technology for monitoring video and analysis methods, which is applied in video data retrieval, video data browsing/visualization, closed-circuit television systems, etc., and can solve problems such as low efficiency of monitoring video analysis.
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Embodiment 1
[0071] figure 1 A monitoring video analysis process provided in Embodiment 1 of the present invention, the process includes the following steps:
[0072] S101: Receive a surveillance video analysis request, where the surveillance video analysis request carries identification information of a surveillance video to be analyzed.
[0073] A monitoring video analysis method provided in an embodiment of the present invention is applied to a terminal. For example, it can be a mobile phone, a PC, or a tablet computer, etc. Specifically, an APP can be installed in the terminal, and the monitoring video analysis process can be realized through the APP.
[0074] After receiving the surveillance video analysis request, the terminal recognizes that the surveillance video analysis request carries identification information of the surveillance video to be analyzed. The identification information may be information of a monitoring device that recorded the monitoring video, and the terminal ...
Embodiment 2
[0085] On the basis of Embodiment 1 of the present invention, in the embodiment of the present invention, before assigning a corresponding number of video frames to each analysis device, the method further includes:
[0086] Query information about the minimum number of analysis frames of the analysis device saved by each analysis device;
[0087] For each analysis device, when determining whether the first number of video frames analyzed by the analysis device is less than the minimum number of analysis frames stored by the analysis device, if yes, no video frames are allocated to the analysis device.
[0088] Video analysis generally requires a minimum number of frames for pre-processing of algorithms, such as face recognition, background modeling in license plate recognition algorithms, etc. Each analysis device stores information about the minimum number of frames analyzed by the analysis device. The terminal queries information about the minimum number of analysis frames ...
Embodiment 3
[0102] In order to ensure that the number of video frames allocated to the remaining analysis devices just matches the number of video frames analyzed by the remaining analysis devices, when the remaining analysis devices include at least two, the method further includes:
[0103] sorting the remaining analysis devices in descending order of the first number of video frames analyzed by the remaining analysis devices;
[0104] removing a set number of analytical devices among said remaining distribution devices;
[0105] According to the target remaining analysis equipment after removing the set number of analysis equipment, a third number of video frames is allocated to each target remaining analysis equipment, wherein the third number of video frames allocated to each target remaining analysis equipment Not less than the first number of video frames allocated to each target remaining analysis device, the third number of video frames allocated to each target remaining analysis...
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