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Moving object classification method and system thereof

A technology of moving objects and classification methods, which is applied in closed-circuit television systems, components of television systems, image analysis, etc., and can solve problems such as large amount of computation

Active Publication Date: 2012-04-18
NETPOSA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disadvantage of this method is that due to the use of a large number of training samples and the continuous updating of sample information in practical applications, the amount of calculation is extremely large.

Method used

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  • Moving object classification method and system thereof
  • Moving object classification method and system thereof
  • Moving object classification method and system thereof

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Embodiment Construction

[0074] Further details will be given below in combination with specific embodiments and accompanying drawings.

[0075] figure 1 Shown is a schematic structural diagram of the moving object classification method in the present invention, and the moving object classification method specifically includes:

[0076] Extract feature 10, extract the spatial and temporal features of the target;

[0077] Judgment type 20, the type of judgment target.

[0078] Such as figure 2 as shown, figure 2 It is a schematic structural diagram of the extracted feature 10 in the present invention, and the extracted feature includes the spatial feature 11 and the temporal feature 12 of the target.

[0079] The schematic diagram of the structure of the spatial feature 11 is as follows image 3 As shown, it specifically includes: the long axis 111 of the area contour fitting ellipse, the short axis 112 of the area contour fitting ellipse, the angle 113 between the short axis 112 of the area con...

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Abstract

The invention provides a moving object classification method and a system thereof. The moving object classification method is used for classifying moving objects and comprises the following steps: extracting characteristics and judging the types, wherein the characteristic extraction is used for extracting the space characteristic and the time characteristic of the objects; and the type judgment is to classify the objects according to the extracted characteristics by a probability classification method. According to the scheme provided by the invention, the classification of multiple moving objects is realized; crowds and vehicles are classified; the moving objects can be accurately classified; accurate classification of the crowds and the vehicles can be realized; and classification is simple, convenient and quite practical.

Description

technical field [0001] The invention relates to video monitoring technology, in particular to a method for classifying moving objects in an intelligent video monitoring system and a system thereof. Background technique [0002] Conventional intelligent video surveillance technology includes a moving target classification technology. The combination of moving object classification, moving object detection and moving object tracking can constitute the moving object recognition module in the video surveillance system. Whether the classification of moving objects can correctly distinguish various objects (such as people and vehicles) directly affects the alarm in the video surveillance system, so it becomes one of the keys in the research of intelligent video surveillance technology. [0003] In order to realize the classification of moving objects, Bayesian algorithm can be used. Bayesian algorithm is a kind of algorithm that uses probability and statistics knowledge to class...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/14G06K9/62H04N7/18G06T7/20
Inventor 王正曾建平杨学超菅云峰
Owner NETPOSA TECH
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