Target classification method of video image and device

A video image and target classification technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of difficulty in fast execution of tracking algorithms, inaccurate target classification, etc., to overcome inaccurate aspect ratio features and improve computing speed , the effect of accurate classification

Active Publication Date: 2010-11-10
HANGZHOU HIKVISION DIGITAL TECH
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiment of the present application is to provide a video image object classification method and device to solve the problem in the prior art that it is difficult to quickly execute the tracking algorithm when performing object classification, and the object classification is inaccurate under certain circumstances

Method used

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  • Target classification method of video image and device
  • Target classification method of video image and device
  • Target classification method of video image and device

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no. 1 example

[0074] see figure 1 , is the flow chart of the first embodiment of the object classification method of the video image of the present application:

[0075] Step 101: After receiving the video image, filter the foreground clumps obtained from the video image, and use the foreground clumps that meet the preset filtering conditions as moving targets.

[0076] Wherein, the preset filter condition may include at least one of the following conditions: preset the time threshold for the duration of the motion trajectory of the foreground blob in time series; preset the motion characteristics that the motion trajectory of the foreground blob should meet; preset The motion speed threshold of the foreground blob.

[0077] Step 102: Track the moving target through the mean value iterative drift algorithm, and extract the moving target at the position of the tracking result.

[0078] Specifically, the filtered moving target is initialized, including updating the Kalman filter correspondi...

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Abstract

The embodiment of the application discloses a target classification method of a video image and a method. The method comprises the following steps: receiving a video image, filtering a prospective block mass obtained in the video image and taking the prospective block mass which is qualified with the preset filtering conditions as a movable target; tracking the movable target by a mean iterative shifting algorithm and extracting the movable moving target on a tracked result position; carrying out normalization processing on the extracted movable target and scanning the outline of the movable target performed with the normalization processing to acquire a characteristic statistic; and determining the type of the movable target in accordance with the characteristic statistic. The embodiment of the application uses the outline characteristics of the targets to classify the targets, thereby improving classification accuracy; by using a scale factor to carry out the size normalization processing on the movable target, the embodiment of the application overcomes the defect of inaccurate characteristic of width and height proportion caused by the existing normalization processing method; and by using jointed probability distribution to calculate a color histogram, the data quantity of the color histogram is reduced.

Description

technical field [0001] The present application relates to the technical field of computer image processing, in particular to a method and device for object classification of video images. Background technique [0002] Intelligent video analysis technology refers to the automatic content analysis of input video images by computer to determine whether there are vehicles or people appearing in the video screen, or whether there are targets entering the preset warning area, etc. In the application of intelligent video analysis and processing, targets are usually divided into two categories: people and vehicles. For example, we set an alarm area in the video screen. When a vehicle enters this area, the intelligent video analysis system should automatically output alarm information. , and the intelligent video analysis system should not output alarm information when someone enters, so the intelligent video analysis system needs to track the targets appearing in the video screen, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20
Inventor 蔡巍伟贾永华朱勇胡扬忠邬伟琪
Owner HANGZHOU HIKVISION DIGITAL TECH
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