Intelligent video monitoring system and performance test method of algorithm thereof

A technology of intelligent video monitoring and testing methods, which is applied in closed-circuit television systems, televisions, computing, etc., can solve the problems of time-consuming and labor-intensive intelligent video testing, and achieve the effects of good performance, improved operating speed, and less memory space

Active Publication Date: 2010-02-24
BEIJING ZHONGDUN SECURITY TECH DEV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The performance testing method of the intelligent video monitoring system and its algorithm of the present invention aims to provide an automatic intelligent video monitoring system and its algorithm performance testing method to solve the problems of time-consuming and labor-intensive testing in intelligent video testing

Method used

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  • Intelligent video monitoring system and performance test method of algorithm thereof
  • Intelligent video monitoring system and performance test method of algorithm thereof
  • Intelligent video monitoring system and performance test method of algorithm thereof

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Embodiment Construction

[0018] The invention relates to a performance testing method for an intelligent video monitoring system and its algorithm in the security field. The following are the system structure and implementation steps that the preferred embodiment of the present invention uses:

[0019] (1) System structure

[0020] figure 1 The system structure block diagram used in the present invention shown, the system composition includes: benchmark data generation unit, benchmark data calibration unit, benchmark data storage unit, benchmark data playback unit, test result input unit, test result and benchmark comparison unit, performance index Computing unit, result output unit, scheduling server.

[0021] 1. Benchmark data generation unit: used to generate benchmark files for comparison;

[0022] 2. Benchmark data calibration unit: used to proofread and adjust the benchmark data generated by the benchmark data generation unit;

[0023] 3. Benchmark data storage unit: responsible for storing ...

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Abstract

The invention provides an intelligent video monitoring system and a performance test method of an algorithm thereof. The test method is completed by a test system composed of a reference data generation unit, a reference data calibration unit, a reference data storage unit, a reference data playing unit, a detection result input unit, a detection result and reference comparing unit, a performanceindex calculation unit, a result output unit and a scheduling server. The method for testing the intelligent video system or the algorithm comprises the following steps: firstly establishing a reference database for testing, and sequentially performing reference data generation, calibration and storage on a video for testing; then selecting the test video, performing function detection on the tested system or the tested algorithm on the selected test video, and storing a detection result as an XML file with a specified format; and finally comparing the file with the reference data corresponding to the video, and outputting a comparison and evaluation result in a text and graphics mode.

Description

technical field [0001] The invention relates to the testing of an intelligent video monitoring system in the security field, in particular to a performance testing method of an intelligent video monitoring system and an algorithm thereof. Background technique [0002] Modern society is a densely populated and highly complex society, facing more and more emergencies and abnormal events, and the importance and difficulty of monitoring are becoming more and more prominent. For this reason, the new generation of intelligent video surveillance technology has been paid close attention to by governments and scholars all over the world. [0003] With the introduction of various intelligent video algorithms and systems, the question is: how reliable and robust are these video content analysis algorithms, the probability of false positives and false positives, and whether users can use them with confidence The monitoring system of this algorithm, if the algorithm generates too many f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00H04N7/18G06F17/30
Inventor 陈朝武李晓峰李鹏飞王列孟永新
Owner BEIJING ZHONGDUN SECURITY TECH DEV
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