Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Device and method for detecting high-speed tiny target online in real time by simulating fly vision

A target detection and real-time detection technology, applied in the field of image processing and target detection, can solve the problems of lack of features of high-speed moving small targets, complex calculation principles, poor anti-background interference ability, etc., to enhance anti-background anti-interference ability, overcome computing High complexity and the effect of suppressing background motion

Active Publication Date: 2014-06-25
HOHAI UNIV CHANGZHOU
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the limitations of the current computer vision on the detection of high-speed moving micro-targets, such as complex calculation principles, large amount of calculation, poor anti-background interference ability, etc., especially under the conditions of dynamic and complex natural scenes, the background model cannot be accurately estimated, and For problems such as the lack of features of high-speed moving tiny targets, the present invention draws on the large and small scene integration mechanism of fly vision to simulate the process of flies from visual information acquisition to retinal primary motion information estimation to lobular plate high-order neuron information integration processing, and constructs a complex Under the background, the high-speed micro-target imitation fly vision online detection device and its working method use the parallel neural integration mechanism to realize the detection and tracking of micro-targets

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
  • Device and method for detecting high-speed tiny target online in real time by simulating fly vision
  • Device and method for detecting high-speed tiny target online in real time by simulating fly vision
  • Device and method for detecting high-speed tiny target online in real time by simulating fly vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0046] Detection device hardware logic components of the present invention such as figure 1 As shown, the small target detection device is mainly composed of three parts: a video signal acquisition module M1, a primary vision processing module M2, and a target detection and tracking module M3.

[0047] Among them, the video signal acquisition module M1 includes two CCD cameras 1, 2 and programmable video signal processors 3, 4 corresponding to the CCD cameras. High-speed industrial CCD cameras, respectively denoted as CCD L 、CCD R Its resolution is 1024×768, and the frame rate is 30 frames per second, which is suitable for application fields such as intelligent transportation and machine visi...

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 device and method for detecting a high-speed tiny target online in real time by simulating fly vision. The method comprises the following steps of: acquiring scene video information by using a binocular camera, transmitting the scene video information into a DSP (digital signal processor) chip, and performing primary vision processing; performing large scene and small scene integration and target detection on primary motional information by using an FPGA (field programmable gate array) chip; and tracking a tiny target moving at high speed by taking an integration result of a large scene and a small scene as a target detection evidence. The device and method disclosed by the invention have the advantages that: the target detection is realized by virtue of a biological principle; the device and method have relatively strong antijamming capability and are applicable to the target detection under the condition of a low signal-to-noise ratio in various severe natural environments; a neuron integrating mechanism of a fly vision system has the characteristics of simple computing principle, high real-time performance and the like; the fly vision neuron is simple in tissue structure and can be easily realized by hardware; and the device can be installed on an automobile, panzer, airplane and other appliances which move at high speed, and has the capability of accurately detecting the high-speed tiny target on line in real time in a dynamically changing background.

Description

technical field [0001] The invention relates to a high-speed tiny target detection device and a detection method, belonging to the technical field of image processing and target detection. Background technique [0002] The detection of moving targets in video images has always been one of the core issues of computer vision research, and it has broad application prospects in military guidance, unmanned aircraft driving, and robot vision navigation. Among them, the detection of small targets moving at high speed under dynamic complex background is the difficulty in the problem of moving target detection. The key reasons why this kind of problem is difficult to deal with are: the tiny target itself lacks features that are easy to analyze and identify; the signal-to-noise ratio of the tiny target is low due to the complex background; the background model is difficult to estimate and predict in the moving state; The characteristics are uncertain. [0003] To solve the above pro...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/14
Inventor 李敏张学武范新南张卓梁瑞宇许海燕宋凤琴林善明
Owner HOHAI UNIV CHANGZHOU
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
Eureka Blog
Learn More
PatSnap group products