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
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to quickly detect the target from the strong, compound shape interf...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap