Device and method for intelligent linkage of multi-video recording device based on cloud computing and mass video searching

Abstract

The invention relates to a device and a method for the intelligent linkage of a multi-video recording device based on cloud computing and mass video searching. The device comprises a video recording device, a moving target dividing and tracking device, an OCR device, a moving target feature extraction device, a moving target storage device, a searching device and a visual user operation interface. A moving target is divided and tracked by recording the video information and the geographic information of the moving target, then the features of the moving target are classified and extracted, the information of the features of the moving target is stored, and abnormal event information is displayed to a user by user searching. A human-in-circulation strategy is adopted, the problem of accurate tracking of a cross-video recording device is solved by using a mode of assisting an operator by a computer, and the problems of low human information processing speed, weak memory capacity and high labor cost are also solved.

Description

technical field [0001] The invention relates to a method and a device for performing target tracking across cameras among multiple cameras based on cloud computing and mass video retrieval technology. Background technique [0002] As a very effective security control method, video surveillance is widely used in security applications in public places and important facilities. Due to the limited range that a single camera can monitor, various security applications generally require a large number of cameras to be installed in places of concern. For example, the "Safe City" projects in various places often have to set up tens of thousands to hundreds of thousands of cameras in public places in a city. With such a large number of cameras monitoring 24 hours a day, the amount of data obtained far exceeds the range that can be processed by humans. Therefore, it is an inevitable choice to use computers for intelligent monitoring. However, existing intelligent surveillance techno...

AI Technical Summary

Problems solved by technology

Due to the large differences in the observation distance, angle, color balance, and illumination of each camera, the accuracy of the existing real-time segmentation and tracking technology for cross-camera tracking between non-overlapping cameras is very low, and it is difficult to obtain satisfactory results in practical applications.

The current surveillance system still mainly relies on manpower to solve problems such as cross-camera tracking and playback. However, due to the huge amount of video surveillance data and the high requirements for artificial intelligence in video surveillance, it is very difficult to manually detect or playback more complex events.

Of course, due to the high cost of labor and low response speed, it is not feasible to detect and track all events and objects in real time as envisaged by traditional video security surveillance

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