Multi-target data association algorithm based on feature matching matrix

A data association and feature matching technology, applied in data comparison, processing input data, etc., can solve problems such as misassociation of moving targets, loss of target information, etc.

Inactive Publication Date: 2014-03-26
中国航天科工集团第二研究院二〇七所
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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

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  • Multi-target data association algorithm based on feature matching matrix

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Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] Such as figure 1 As shown, the multi-target data association algorithm based on feature matching matrix of the present invention comprises the following steps:

[0026] Step 1: Collecting the current video sequence images in a stationary state of the shooting device;

[0027] Suppose the number of moving objects in the t-1th frame is M, the number of moving regions that need to be associated in the tth frame is N, and the target set is Ob={ob j |i=1,2,...,M}, the area set is Fg={fg j |j=1,2,...,N}, then the target set ob i with the region set fg j The matching results are the elements of the associated matching matrix. The row of the matching matrix is ​​the moving target in frame t-1, and the column is the number of motion areas that need to be associated. Each matching element R(i,j) forms an M×N associated matching matrix R ; ...

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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...

Claims

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Application Information

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IPC IPC(8): G06F7/20
Inventor 杨文佳王楠柴智李亚鹏
Owner 中国航天科工集团第二研究院二〇七所
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