Comprehensive feature target detection method and system in intelligent monitoring network

Abstract

The invention provides a comprehensive feature target detection method and system in an intelligent monitoring network. The method comprises the following steps: defining and extracting a plurality ofpieces of feature information related to target detection in a monitoring network; screening monitoring devices in combination with the plurality of pieces of feature information, releasing tasks, and unloading the tasks of the monitoring devices to a server; and judging by utilizing the feature information of the monitoring equipment to obtain a detection result, and carrying out information fusion on the detection result. According to the method and the system, comprehensive characteristics such as time characteristics of a detection target and spatial characteristics of monitoring equipment are utilized, so that the target detection task can be better distributed and executed on the monitoring devices, and the spatial range of the detection target is finally determined by utilizing thecharacteristics and the detection result, so that the resource use of the monitoring network is effectively reduced while the higher accuracy is ensured. And the method has a good application value for a target detection task of deep learning, especially for target detection of video contents.

Description

technical field [0001] The present invention relates to the field of edge computing technology and the field of machine learning technology, in particular, to a comprehensive feature target detection method and system in an intelligent monitoring network. Background technique [0002] The rapid development of technology in computer-related fields has made video surveillance more and more widely used, accompanied by the growth of surveillance networks. How to make more and more surveillance networks more intelligent is a key issue that always exists. Object detection has always been one of the intelligent applications of surveillance networks. As an important field of image processing and computer vision, object detection has extremely important influences in both academic and practical fields. Especially with the rapid development of the field of deep learning in recent years, object detection has become the focus of academia. With the implementation of national key project...

AI Technical Summary

Problems solved by technology

However, the processing capacity of edge devices is limited, and it is inefficient to put all tasks on edge nodes.

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