Intelligent video retrieval system and method based on target characteristic and alarm behavior

A target feature and retrieval system technology, applied in character and pattern recognition, special data processing applications, instruments, etc., to achieve the effect of low storage cost

Inactive Publication Date: 2010-09-22
WISCOM SYSTEM CO LTD
View PDF5 Cites 90 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are many intelligent video analyzer products, which perform behavior analysis and real-time alarm in the monitoring system, but there is no video retrieval for the specified alarm behavior for historical video; currently there are some content-based (that is, various image features) Video retrieval products, analysis and retrieval of movies or news footage

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
  • Intelligent video retrieval system and method based on target characteristic and alarm behavior
  • Intelligent video retrieval system and method based on target characteristic and alarm behavior
  • Intelligent video retrieval system and method based on target characteristic and alarm behavior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] A flow chart of Embodiment 1 of the present invention is as follows figure 2 As shown in , the user retrieves video clips that meet the conditions in the video of the surveillance system, and the retrieval is performed in the following steps:

[0067] (1) When the monitoring system is running normally, the video source of the camera performs trajectory tracking and feature extraction, and the extracted target trajectory, alarm behavior and target features are stored in the feature database.

[0068] (2) The user inputs retrieval conditions from the retrieval terminal, mainly various feature descriptions and alarm rules. For example, when retrieving a red car that crosses a certain warning line, the target feature is set to red, the target category is car, the alarm behavior is crossing the line, and a straight line is drawn as the line mixing rule. If there is no alarm rule, it is to retrieve all red cars; if there is no target feature, only alarm rules, then it is to...

Embodiment 2

[0071] The second flow chart of the embodiment of the present invention is as follows figure 2 As shown, the monitoring system is not running, or the monitoring system does not perform trajectory tracking and feature extraction, or the user does not care about the video data of the monitoring system, in short, there is no feature database that the user needs. The user retrieves video clips similar to the specified image in the specified video, and the retrieval proceeds as follows:

[0072] (1) The user enters the search conditions from the search terminal. At this time, the target feature is not based on the description, but an image is opened as a template, or a video is played to a certain frame to take a screenshot, and the sense is set in the template image or screenshot image The area of ​​interest, the image of this area becomes the target template; the retrieval terminal will automatically perform feature extraction to obtain the target feature vector, and the user ca...

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

An intelligent video retrieval system and method based on target characteristic and alarm behavior relate to an intelligent video retrieval system and method. The system comprises a trajectory tracking module, a feature extraction module, a feature storage module, a search engine module and a retrieval terminal, wherein the trajectory tracking module extracts the motion trajectory and alarm behavior of a target input in the video; the feature extraction module extracts the features of the input image such as color, texture, shape and category; the feature storage module stores the motion trajectory, the alarm behavior, the target characteristic and the related information of the video in a feature database; the search engine module analyzes the retrieval conditions input by a user, performs video retrieval based on characteristic and behavior in the database and returns the video clip satisfying the conditions; and the retrieval terminal, namely client software receives the retrieval conditions input by the user and displays the retrieval result after retrieval. Compared with the prior art, by using the retrieval system, the user can customize retrieval conditions more accurately, video retrieval based on target characteristic and alarm behavior can be performed; and the retrieval result of the features generated by real-time analysis can be fast obtained.

Description

technical field [0001] The invention relates to an intelligent video retrieval system and method, in particular to an intelligent video retrieval system and method that comprehensively utilizes target features and alarm behaviors in video. Background technique [0002] The video surveillance system stores a large amount of video data. In the current video surveillance management platform, these videos are generally queried and played back based on the camera installation location or IP address combined with time. However, for some specific applications, traditional query methods are useless. For example, when searching for criminal investigations, you do not know the location of the camera and the specific shooting time, but only know some characteristics of the suspect; Locate the time of the theft; another example is to quickly view the people and vehicles entering and exiting a certain gate. With the construction of large-scale security monitoring systems such as "Safe C...

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): G06F17/30G06K9/46
Inventor 骞森
Owner WISCOM SYSTEM CO LTD
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