Multi-target data association algorithm based on feature matching matrix

Abstract

The invention belongs to the technical field of photoelectricity, and particularly relates to a multi-target data association algorithm based on a feature matching matrix. The algorithm includes the following steps that a current video sequence image is collected in the stationary state of shooting equipment; a target, closest to the center of a moving target at the moment of t-1, in the center of a jth moving area at the moment of t is calculated, and the closest matching distance is recorded as d (i, j); the intersecting area of a moving target at a t-1 frame and a moving target at a t frame is calculated, and if the intersecting area of a target at the moment t and a target in the current area is larger than a certain threshold, the intersecting area is recorded as s (i, j); when the center association distance and the area intersecting area are both larger than a certain threshold, an element R (i, j) of the matching matrix is set as 1; an association matching matrix is judged, and association tracking is performed on emerged new targets and an ideal tracking state through a centroid matching algorithm; when combination of the targets occurs, movement information and color information before combination of the targets are reserved respectively, and combination tracking of Kalman filtering and histogram fusion is performed. According the multi-target data association algorithm based on the feature matching matrix, multi-target data association under the condition of sheltering can be achieved.

Description

technical field [0001] The invention belongs to the field of optoelectronic technology, and in particular relates to a multi-target data association algorithm based on a feature matching matrix. Background technique [0002] Video target tracking technology is an important topic in the field of computer vision and information fusion, which integrates advanced technologies in many fields, such as artificial intelligence, image processing, pattern recognition, automatic control, etc. Since the result of video target tracking contains a large amount of information about the moving target detected in each frame of image, it has a very wide application value in military and civilian applications. Military applications include: military tracking and targeting systems; civilian applications include: intelligent video surveillance, intelligent traffic surveillance, vision-based human-computer interaction systems, and image retrieval systems. [0003] In the mass video retrieval sys...

AI Technical Summary

Problems solved by technology

However, due to the complexity and diversity of the video scene, when tracking the moving target in the video, when a single target occludes each other and multiple targets are merged into a target group, the original target information may be lost, resulting in the error of the moving target. associate

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