Intelligent video retrieval system and method based on target characteristic and alarm behavior
A target feature and retrieval system technology, applied in character and pattern recognition, special data processing applications, instruments, etc., to achieve the effect of low storage cost
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Embodiment 1
[0066] A flow chart of Embodiment 1 of the present invention is as follows figure 2 As shown in , the user retrieves video clips that meet the conditions in the video of the surveillance system, and the retrieval is performed in the following steps:
[0067] (1) When the monitoring system is running normally, the video source of the camera performs trajectory tracking and feature extraction, and the extracted target trajectory, alarm behavior and target features are stored in the feature database.
[0068] (2) The user inputs retrieval conditions from the retrieval terminal, mainly various feature descriptions and alarm rules. For example, when retrieving a red car that crosses a certain warning line, the target feature is set to red, the target category is car, the alarm behavior is crossing the line, and a straight line is drawn as the line mixing rule. If there is no alarm rule, it is to retrieve all red cars; if there is no target feature, only alarm rules, then it is to...
Embodiment 2
[0071] The second flow chart of the embodiment of the present invention is as follows figure 2 As shown, the monitoring system is not running, or the monitoring system does not perform trajectory tracking and feature extraction, or the user does not care about the video data of the monitoring system, in short, there is no feature database that the user needs. The user retrieves video clips similar to the specified image in the specified video, and the retrieval proceeds as follows:
[0072] (1) The user enters the search conditions from the search terminal. At this time, the target feature is not based on the description, but an image is opened as a template, or a video is played to a certain frame to take a screenshot, and the sense is set in the template image or screenshot image The area of interest, the image of this area becomes the target template; the retrieval terminal will automatically perform feature extraction to obtain the target feature vector, and the user ca...
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