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Directed weighted graph-based low-altitude moving target search method

A moving target and directional weighted technology, which is applied in the field of low-altitude moving target search, can solve the problems of fixed search range and low search efficiency, and achieve the effects of shortening search time, narrowing search range, and improving search accuracy

Active Publication Date: 2018-05-08
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] The technical problem solved by the present invention is: in view of the currently existing search methods for moving objects in visible light sequence images, most of which have the problems of fixed search range and low search efficiency, the present invention uses directed weighted graphs containing topological relationships and weights to describe The relative motion relationship between the local areas of the image, dynamically plan the search range according to the motion trend of the target, make the search process more directional and targeted, shorten the search time and improve the search accuracy while narrowing the search range

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  • Directed weighted graph-based low-altitude moving target search method
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Embodiment Construction

[0008] The technical scheme of the present invention will be described in detail below in conjunction with the accompanying drawings

[0009] The present invention is achieved through the following technical solutions, based on the low-altitude moving target search method of directed weighted graph, its specific steps are as follows:

[0010] (1) For each frame image f in the sequence image F of length n i (i=1,2,...,n) perform block processing, and decompose it into m image blocks B i (x i ,y i )(i=1,2,...,m), x i and y i is the position coordinate of the image block in the image, the width of each image block is W, and the height is H, and the association relationship between each image block is represented by a directed weighted graph. W×H parameter explanation

[0011] Establish a directed weighted graph G, the tth node in G is node t (ix t ,iy t ) mark, corresponding to f i An image in block B k (x k ,y k ), the corresponding relationship is:

[0012]

[...

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Abstract

The invention relates to a directed weighted graph-based low-altitude moving target search method, and belongs to the technical field of image processing. Aiming at the problem that existing visible light sequence image moving target search methods are mostly fixed in search range and relatively low in search efficiency, the method provided by the invention adopts a directed weighted graph which comprises a topological relation and a weight to describe a relative moving relationship among image local areas, and dynamically plans a search range according to moving trends of targets so as to ensure that the search process is more directive and targeted, shorten the search time and improve the search correctness while narrowing the search range. On such basis, a sampling strategy optimization-based dimensionality reduced Haar feature is combined to describe image local information, so that the moving target representation capacity is improved and then moving targets in sequence images canbe correctly and rapidly searched.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a low-altitude moving target search method based on directed weighted graphs. Background technique [0002] Moving target search is an important research topic in the field of image processing and machine vision. At present, moving target search technology has been widely used in the fields of security monitoring, remote sensing images and intelligent robots. Objects are distinguished and extracted from the background. In recent years, with the development of UAVs, the demand for safety monitoring of UAVs has gradually increased, so the search for moving targets in low-altitude airspace is one of the research hotspots. [0003] Gao Meifeng, Liu Di ("Moving Object Detection by Combining Block Frame Difference and Background Difference", Computer Application Research, 2013, 30-1, 299-302) used image blocks to establish an initial background model, and divided video images i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/5838
Inventor 王靖宇王霰禹姜海旭张科王佩吕梅柏
Owner NORTHWESTERN POLYTECHNICAL UNIV
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