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Moving small target detection method based on TBD complex environment

A technology for small target detection and complex environments, applied in image data processing, instruments, character and pattern recognition, etc.

Pending Publication Date: 2020-10-27
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to quickly detect the target from the strong, compound shape interference signal poses a considerable challenge to the target detection algorithm

Method used

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  • Moving small target detection method based on TBD complex environment
  • Moving small target detection method based on TBD complex environment
  • Moving small target detection method based on TBD complex environment

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Experimental program
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Embodiment Construction

[0042] The present invention is further analyzed below in conjunction with specific examples.

[0043] Such as figure 1 As shown, the specific steps are as follows:

[0044] Step (1), use the ViBe algorithm to initially detect the motion area, and obtain a 3-dimensional data sequence D(x, y, k), where k is the number of sequences

[0045] 1.1 Initialization of background model

[0046] Initialize the background model for a single-frame video sequence through the ViBe algorithm; that is, for any pixel (x, y) in a frame of a picture, randomly select the pixel value of its neighbors as its model sample value. m 0 (x)={V 0 (y|y∈N G (x))}, t=0, initial moment, V 0 Indicates the pixel value at the first frame, N G (x) is the neighbor point, M 0 (x) is the model sample value of a pixel at the initial moment;

[0047] 1.2 Foreground detection process

[0048] The background model stores a sample set for each background point, and then compares each new pixel value with the s...

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Abstract

The invention discloses a moving small target detection method based on a TBD complex environment. According to the invention, on the basis of the basic thought of the TBD (tracking before detection)technology, image video processing algorithms such as background modeling, morphological processing and the like and a point / extended point target detection tracking algorithm are subjected to deep fusion, and a two-stage fast TBD algorithm is provided. According to the invention, the background noise environment is considered, the motion characteristics of a moving target are utilized, and a ViBealgorithm is used for carrying out initial detection on a motion area; then, trace point detection is carried out in a short-time accumulation mode; and the moving target track is generated in a long-term accumulation mode, so that the performance of the detection algorithm is improved, the false alarm rate is reduced, and the detection speed is increased.

Description

technical field [0001] The invention relates to the field of target detection, in particular to a small moving target detection method based on TBD complex environment. Background technique [0002] Small moving target detection in complex environments is a difficult problem in the field of target detection. The detection of moving small targets in complex environments is affected by three factors: 1) Environmental factors: such as some surface or underwater environments have complex topography; sensor factors: the noise level of the sensor; target factors: including the static state of the target Physical size / reflection coefficient vs. dynamic motion speed. The more complex the terrain, the higher the sensor noise, the smaller the physical size / reflection coefficient of the target, and the slower the moving speed, the more difficult it is to detect the target; Additional difficulties arise for object detection. [0003] From the analysis of the characteristics of the si...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/254G06K9/62
CPCG06T7/246G06T7/254G06T2207/10016G06T2207/20076G06T2207/20081G06T2207/30241G06F18/231G06F18/24Y02T10/40
Inventor 陈华杰韦玉潭白浩然吕丹妮
Owner HANGZHOU DIANZI UNIV
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