Integrated imaging identification system and method based on dynamic vision sensor

A visual sensor and recognition system technology, applied in the field of computer vision, can solve the problems of a large amount of calculation of the spiking neural network, slow target recognition, and poor spiking neural network.
CN112308087AActive Publication Date: 2021-02-02XIDIAN UNIV
8 Cites 3 Cited by

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2021-02-02

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides an integrated imaging identification system and method based on a dynamic vision sensor, and aims to solve the technical problems of high system power consumption and low targetidentification accuracy in the prior art. The imaging identification method comprises the following steps: a lens collects a plurality of images; the dynamic vision sensor senses the change of the image gray scale; a processor in the data acquisition module analyzes the signals output by the dynamic vision sensor to obtain an address event data stream; a denoising sub-module in the target recognition module is used for denoising the address event data flow; a segmentation sub-module in the target identification module segments the address event data stream; an identification sub-module in thetarget identification module identifies the address event data flow; and the data visualization module acquires an imaging identification result.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the field of computer vision, and relates to an integrated imaging recognition system and method based on a dynamic vision sensor, which can be used for imaging recognition of ground targets carried by space. Background technique

[0002] Imaging recognition systems and methods based on traditional image sensors are currently widely used, and have played a huge role in security alerts, maritime detection, and road traffic analysis. However, these imaging recognition systems based on traditional image sensors have many defects. In short, A traditional image sensor is a sensor that integrates energy, and the integration process often lasts for tens of milliseconds, which prolongs the response time of the camera and makes it difficult for traditional image sensors to capture fast-moving targets. During the integration process, if the target moves relative to the traditional image sensor, it will cause the traditional image sensor ...

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