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

Video monitoring intelligent early-warning system and method on basis of target space relation constraint

A spatial relationship and video monitoring technology, applied in closed-circuit television systems, alarms, instruments, etc., can solve problems such as inability to fully achieve real-time monitoring intelligent warning, insufficient video high-level semantic analysis, uncertainty, etc., to increase accuracy and Credibility, effects of addressing incompleteness and inaccuracy, exclusion of certain ambiguities and errors

Active Publication Date: 2014-01-22
博拉网络股份有限公司
View PDF5 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, a "semantic gap" is formed between the low-level information and the high-level semantics, which makes it insufficient to analyze the high-level semantics of the video, and cannot fully meet the needs of intelligent early warning for real-time monitoring
[0006] On the other hand, due to the lack of exploration of space constraints, the analysis of video is usually uncertain and incomplete, which can only reflect part of the knowledge of the observation space, and there are technical "blind spots"

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
  • Video monitoring intelligent early-warning system and method on basis of target space relation constraint
  • Video monitoring intelligent early-warning system and method on basis of target space relation constraint
  • Video monitoring intelligent early-warning system and method on basis of target space relation constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0044] Video acquisition module: used to obtain the digital video sequence of the monitoring screen at time T after the camera has been calibrated, and after calculating the correlation of the geometric positions and acquisition parameters of several cameras, the videos of several cameras are fused into one fused video;

[0045] Intelligent parsing function module of target elements: detect and track the target elements in the fused video; use spatio-temporal element maps to represent the motion content of the target elements. T...

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 monitoring intelligent early-warning system and a video monitoring intelligent early-warning method on the basis of target space relation constraint. The system comprises a video acquisition module, a target component intelligent analysis functional module, a video content visual analysis module, a general behavior rule sample database and an alarm module. On the basis of behavior comprehension on target components, aiming at spatial correlation between targets, the system carries out behavior characteristic analysis, evolution and classification, establishes a spatial correlation mode sample library, implements detection and identification on abnormal behaviors, can more effectively and accurately carry out identification and judgment on emergencies and can lock an abnormity trigger point to provide evidence for post-mordem forensics. The system introduces target space relation constraint, divides a video scene region to complete defining related concepts of the target components of a video, eliminates a certain fuzziness and faults in space semantic information, solves the problems of incompletion and inaccuracy in video content analysis and is more accurate and more efficient to detect abnormal events in a video monitoring range.

Description

technical field [0001] The invention belongs to the field of intelligent early warning and relates to a video monitoring system and an intelligent early warning method for video monitoring, especially for public monitoring systems. Background technique [0002] The current development trend of video surveillance is to change from the passive mode of manual monitoring to the active mode of intelligent early warning. The key is the automation and intelligence of the video content analysis process. At present, video content analysis technology mainly adopts a data-driven idea. Faced with massive data and complex types, it uses itself and its context information to mine information, learn knowledge, and intelligently process videos. Usually, machine learning and content-based video retrieval and indexing methods are used to improve the problems of multi-instance, diversity and multi-modality that are difficult to solve by model-based methods, and can obtain information more effe...

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 Applications(China)
IPC IPC(8): G08B23/00H04N7/18
Inventor 丰江帆周文雯夏英宋虎
Owner 博拉网络股份有限公司
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