Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Endpoint detection algorithm based on high-speed pulse type image sensor

An image sensor, high-speed pulse technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of consuming a lot of time and computing resources, high-speed pulse image sensor loss of data volume and speed, etc.

Pending Publication Date: 2021-03-05
TIANJIN UNIV MARINE TECH RES INST
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, if the video is first restored frame by frame, and then the target is tracked and detected by the traditional image processing method, it will consume a lot of time and computing resources, causing the high-speed pulse image sensor to lose its own advantages in terms of data volume and speed. The advantages

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
  • Endpoint detection algorithm based on high-speed pulse type image sensor
  • Endpoint detection algorithm based on high-speed pulse type image sensor
  • Endpoint detection algorithm based on high-speed pulse type image sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will give a specific description of the implementation of the present invention in conjunction with examples.

[0018] In practice, optional ts=0.5ms, p th =30, A up (px) =10, l =5, each parameter can be adjusted according to the light intensity of the scene and the moving speed of the object. Firstly, the obtained pulse data is converted into oriented event data. at |θ k (i) When |>π / 4, the event-based endpoint judgment method is as follows. The judgment algorithm is as follows, for |θ k (i) In the case of | figure 2 For example, the algorithm steps are as follows:

[0019] 1. Alignment L (i) Directed events on (with straight lines in the figure L (i) indicated by an arrow with a direction on it) o k = [u k T ,v k T , t k ,p k ] T , at |θ k (i) When |>π / 4, use formula (1) (2) to update x k (i) with y k (i) ;

[0020] 2. Jud...

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 an endpoint detection algorithm based on a high-speed pulse type image sensor. The algorithm comprises the following steps: firstly, converting a high-speed pulse into an eventsignal with a direction; then carrying out direction planning on the points determined to be on the same straight line; according to the method, a high-speed pulse type image sensor output signal which cannot directly generate an image is converted into an event format with a direction, the process of restoring and processing a whole frame of image is omitted, only an endpoint event most valuablefor motion detection is output through iterative search, and the method can be used for high-speed real-time object detection.

Description

technical field [0001] The invention relates to the field of image processing algorithms, in particular to the detection of a moving target for a pulse image sensor, that is, an endpoint detection algorithm based on a high-speed pulse image sensor. Background technique [0002] The positioning and tracking of high-speed moving objects is a key technology that can be applied to areas such as unmanned driving, industrial measurement and control, and robot control. In various high-speed cameras, the pulse image sensor imitating the retinal nerve can fundamentally reduce the amount of data due to its unique asynchronous pulse output form, and greatly increase the frame rate of the video it can shoot. Different from traditional frame-by-frame imaging sensors, because the output is pulse format data with unequal intervals, it cannot directly restore the brightness of the captured image, and requires subsequent related processing algorithms to restore the captured video. In practi...

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): G06T7/00G06T7/20
CPCG06T7/0002G06T7/20G06T2207/10016
Inventor 徐江涛张培文高静聂凯明杨喆
Owner TIANJIN UNIV MARINE TECH RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com