Image recognition method and device and video monitoring device

Abstract

The invention discloses an image recognition method and device and a video monitoring device. The method comprises the following steps: detecting a target object in image information by using a detection model trained based on a depth learning algorithm; recognizing the feature information of the target object by the recognition model based on the training of depth learning algorithm; extracting the structural features of the target object from the feature information. Thus, by integrating the depth learning technology of artificial intelligence and the video surveillance technology in depth,using the detection model and recognition module trained by depth learning algorithm to detect the target object in the image information and recognize the feature information of the target object, and then extracting the fine structural features of the target object, the image recognition efficiency and recognition accuracy are greatly improved, the high-efficient structured management of the massive video data is realized, the effective information resources are formed, and the retrieval speed is greatly improved, especially the intelligent real-time detection and recognition of the two mainobjects in the video, namely, the human and the vehicle.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to an image recognition method, device and video monitoring equipment. Background technique [0002] Video surveillance is widely used in many occasions because of its intuition, accuracy, timeliness and rich content. In recent years, public security organs across the country have vigorously carried out the construction of video surveillance systems, and video technology has gradually become an important means of collecting evidence and extracting clues in the process of solving various cases (incidents). In prisons, safe cities, public security, finance and other industries, the video surveillance function is the top priority. [0003] A large number of monitoring devices generate video data all the time, and the huge video data brings a video analysis dilemma that is difficult for manpower to overcome. There are many real-time monitoring devices in the current monitorin...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide an image recognition method, device and video surveillance equipment to solve the technical problems of low image recognition efficiency and recognition accuracy

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