Moving target real-time detection and tracking method and target detection device

Abstract

The invention relates to the field of high-definition video image processing, and particularly relates to a DSP-based high-definition video moving target real-time detection and tracking method and a target detection device. According to the method, firstly a real-time background model is established by using an improved three-frame differential and line segment coding filling algorithm; then a complete moving target is detected by using a background differential and morphological processing algorithm, and a pixel of which the centroid is the center is extracted from the moving target to act as an initial moving target template; and finally the moving target is tracked in real time by using a target tracking algorithm of combination of cross diamond model search and a spatial histogram, and the moving target template is continuously updated in the target tracking process. The requirements of the real-time performance and the accuracy of detection of the moving target can be met.

Description

technical field [0001] The invention relates to the field of high-definition video image processing, in particular to a DSP (Digital Signal Processor)-based real-time detection and tracking method of a high-definition video moving target and a target detection device. Background technique [0002] Moving target detection and tracking technology is a hot issue in intelligent image processing and video processing. It has broad application prospects and long-term economic value in the fields of scene monitoring, social life, medical care, military, traffic road monitoring, weather analysis, and autonomous navigation. Among them, the moving object detection is to find out the moving object through the correlation information between video image sequences. The current moving object detection methods mainly include the background difference method, the frame difference method and the optical flow method. However, because the background subtraction method is difficult to obtain a c...

AI Technical Summary

Problems solved by technology

However, because the background subtraction method is difficult to obtain a complete background in the scene where there are always moving objects, there will be holes in the frame difference method, and the calculation amount of the optical flow method is too large, etc., the existing moving object detection methods cannot meet the requirements. practical needs

Target tracking is to track the trajectory of the moving target through the characteristic information of the moving target. At present, the popular target tracking methods mainly include template matching method, Kalman filter method, particle filter method and adaptive mean filter algorithm. are particularly large, and the real-time and accuracy in the processing of high-definition video images cannot be strongly guaranteed

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