Compressed sensing based video background reconstruction and emergent mass incident early warning platform

A compressed sensing and video technology, applied in computer components, 2D image generation, image data processing, etc., can solve the problems of sensitivity to light changes in the warning area, unusable, immature background reconstruction technology, etc., to protect life and property Safety and the effect of avoiding group riots

Inactive Publication Date: 2015-01-21
李峰
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the intelligent monitoring products currently on the market are sensitive to light changes in the warning area due to the immature background reconstruction technology, so they cannot be used outdoors

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
  • Compressed sensing based video background reconstruction and emergent mass incident early warning platform
  • Compressed sensing based video background reconstruction and emergent mass incident early warning platform
  • Compressed sensing based video background reconstruction and emergent mass incident early warning platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016]The invention proposes a brand-new video background reconstruction method based on compressed sensing theory. like image 3 As shown, we know that in the long-term video capture screen, the gray value of each pixel mostly shows the background image of the captured video, and only when the target appears will be covered by the foreground screen. Therefore, here we treat the foreground picture as a sparse signal. Here we select 30 minutes of video as input by default, and reconstruct the background image in an adaptive way. Suppose the input video stream includes K images X 1 、X 2 …X K Each image contains m×n pixels, and our goal is to reconstruct the background image B point by point using an optimization algorithm that minimizes the L1 norm. Assuming i=1...m×n, we use the following formula to reconstruct the background image:

[0017]

[0018] Among them, f (k,i) is the i-th pixel of the foreground k-th image, x (k,i) Represents the i-th pixel of the k-th i...

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 compressed sensing based video background reconstruction and emergent mass incident early warning platform which comprises a video input unit, a compressed sensing based background detection module, a change detection module, a pedestrian detection and number counting module, a report generation module and an early warning determination module. The early warning platform uses video data collected by video collectors as the basis, a video analysis method based on compressed sensing is utilized, background information in a warning area is reconstructed in an L1 norm minimizing optimization algorithm, mobile objects in the video can be detected, influence of inhuman objects as vehicles and animals in a scene is eliminated in a pedestrian identification algorithm, the number of pedestrians in the video images is counter in real time, and if a preset maximal allowed number is exceeded, the alarm is raised in real time, police and related staff timely arrive at the area to disperse the crowd and maintain the order, and accidents as disturbance can be avoided.

Description

technical field [0001] The invention relates to a video background reconstruction based on compressed sensing and an early warning platform for sudden group events, which is a system for performing video analysis and early warning for sudden group events based on video data, and belongs to the technical field of safe cities. Background technique [0002] At present, our country is in a period of social transformation, which is not only a critical period of economic development, but also a period of prominent social contradictions. From the perspective of the overall development of the international community, the per capita gross domestic product (GDP) is in the range of 1,000-3,000 US dollars, which is a period of high incidence of public emergencies. The "Emergency Response Law of the People's Republic of China" explains that emergencies are natural disasters, accident disasters, public health incidents and social security incidents that occur suddenly, cause or may cause ...

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): G06T5/50G06T11/00G06K9/00
Inventor 李峰
Owner 李峰
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