Video monitoring system and method for target detection and tracking

Abstract

The invention relates to a video monitoring system and method for target detection and tracking. The system comprises a video collection device, a target detection device, an information processing device, an information transmission device and an image collection device, wherein the image collection device is composed of a front end image collection device and a video decoding device and is usedfor obtaining a real-time video stream of a target object; the target detection device analyzes the position and the size of the target object in a video image; the information processing device performs real-time processing on related information of the target object within a continuous time to obtain a moving speed, a trajectory and direction information of the target object, and judges the number, the location and the size information of the target object in advance; the information transmission device sends the related information of the target object to the image collection device; and the image collection device controls the target object to always locate in a middle area of the screen and tracks the target object in real time. According to the video monitoring system and method, thetracking of numerous small targets is facilitated according to the deep neural network with multiple features, the recognition rate is improved, and it is beneficial to the good running of the tracking algorithm, and real-time tracking of the target object is achieved.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, in particular to a video monitoring system and method for target detection and tracking. Background technique [0002] With the development of video surveillance technology, intelligent security has been applied to all walks of life in society. Among them, the application scenarios of intelligent products in the field of target detection and tracking are becoming more and more extensive, including traffic, road monitoring, public areas, and specific areas. monitoring etc. [0003] At present, existing target detection and tracking systems mainly use traditional image processing algorithms to identify target objects, such as background difference method, frame difference method, optical flow method, etc. The principle is to obtain the required dynamic target information by analyzing the pixel information of the image and comparing the current image with the background image or the previo...

AI Technical Summary

Problems solved by technology

[0004] The above-mentioned traditional image processing algorithms are usually aimed at multi-target objects, and when the pixel ratio of the target object is relatively small, the target cannot be correctly identified

In addition, in the process of dynamic scene changes, such as light changes and interference from external irrelevant things, there will be errors in recognition, which will lead to the loss of target objects and tracking failures

Images