Method and device for tracing online video target

Abstract

The invention relates to a method and device for tracing an online video target. The method comprises the following steps that image characteristics of a start frame in an online video are obtained and an initial background model is established; an image of a next frame is obtained; compared with the initial background model and the image of the next frame, so that a comparison result is obtained, and the initial background model is updated according to the comparison result; a foreground image is obtained and a foreground target is extracted; target characteristics are obtained through the online learning method and the foreground target is located so that the position information of the foreground target can be obtained; the position of the foreground target is marked and an image of a next frame after the marking is conducted is output; all the output image of the next frames are combined so that the moving trajectory of the foreground target can be obtained. According to the method for tracing the online video target, a real-time monitored video is processed, the target is traced at the first time, the phenomenon that the target is traced after all original video images are obtained is avoided, the instantaneity and effectiveness of data are guaranteed, and influence on the accuracy rate after multiple targets intersect and are blocked in an existing tracing mode is avoided.

Description

Technical field [0001] The invention relates to the field of analysis and processing of video streams, in particular to an online video target tracking method and device. Background technique [0002] In recent years, with the rapid development of digital media technology and intelligent video surveillance technology, the public safety situation has received widespread attention from the society and the public, and multimedia and security video data have exploded. The traditional, time-consuming, simple and primitive manual browsing method is far from meeting people's needs for video information analysis and processing. Therefore, there is an urgent need for an online video target tracking method and system with fast processing speed, accurate target tracking, and good robustness. [0003] Target tracking is to find the moving target of interest in real-time in an image sequence, including its position, velocity, acceleration and other motion parameters. Target tracking is a hot ...

AI Technical Summary

Problems solved by technology

The Kalman filter (Kalman Filter, see A New Approach to Linear Filtering and Prediction Problems, RE Kalman, Journal of basic Engineering, 1960) is an algorithm for linear minimum variance estimation of the state sequence of a dynamic system, which uses state equations and observations Equation to describe a dynamic system, based on the previous state sequence of the system to make an optimal estimate of the next state, the prediction has the characteristics of unbiased, stable and optimal, and has the characteristics of small amount of calculation and real-time calculation, and can be accurate Predict the position and velocity of the target, but it is only suitable for linear and Gaussian distribution systems

Images