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

A target detection method for video sensing nodes

A target detection and video perception technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of uncomfortable video perception nodes, slow running speed, large amount of calculation and storage, and achieve good target detection results. , the effect of memory capacity reduction and processing time reduction

Active Publication Date: 2017-05-10
江苏应时达电气科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In recent years, a large number of improved algorithms based on mixed Gaussian background modeling have emerged. The advantages of these methods are that they have better detection effects and can remove motion interference in complex background situations; the disadvantages are that they have a large amount of calculation and storage, and the running speed is slow, so they are not suitable for Resource-constrained video-aware nodes

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
  • A target detection method for video sensing nodes
  • A target detection method for video sensing nodes
  • A target detection method for video sensing nodes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described and discussed below in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all examples. Based on the present invention All other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] In order to facilitate the understanding of the embodiments of the present invention, specific embodiments will be taken as examples for further explanation below in conjunction with the accompanying drawings, and each embodiment does not constitute a limitation to the embodiments of the present invention.

[0029] For complex dynamic backgrounds, a linear combination of multiple Gaussian distributions can be used to accurately model the background. The mixed Gaussian model ...

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 video sensing node-oriented target detection method. The video sensing node-oriented target detection method includes steps of compressed sensing, background modeling, updating and post-processing, different sampling values M are set according to interest regions, the sampling rate is improved at the 1.2 times region of the previous frame of a target block, and the sampling rate is lowered at the background region; when the background brightness change is small, the Gaussian distribution number for modeling is lowered to lower the learning speed rate; when the brightness change is large, the Gaussian distribution number is improved to improve the learning speed rate.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a target detection method for video perception nodes. Background technique [0002] The wireless video sensor network is an "intelligent" autonomous measurement and control wireless network system composed of a large number of video nodes with communication and computing capabilities arranged in a specific way or randomly in the monitoring area. The video sensor nodes have a strong collaborative ability, and complete the global task through local image data collection, processing and data interaction between nodes. Compared with the traditional monitoring mode, the use of wireless video sensor networks to build a distributed intelligent monitoring system has the advantages of unattended, wide coverage, stable performance, high flexibility, and any combination of monitoring scenarios, especially suitable for traffic intersections, airports, etc. Target tracking and event...

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): G06T7/194G06T7/136G06T7/254G06K9/32
Inventor 方武曹振华吴健
Owner 江苏应时达电气科技有限公司
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