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Method for classifying moving objects in video, method and device for analyzing traffic flow

A technology in moving objects and videos, applied in the fields of computer vision, pattern recognition, and machine learning, can solve problems that cannot meet social development, and achieve the effects of saving labor costs, high precision, and ensuring rapidity

Active Publication Date: 2022-04-05
北京华道兴科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, although human eyes can directly distinguish moving objects and extract moving information from new sequences of video images, only relying on human natural intelligence to acquire and process moving information has been unable to meet the needs of social development.

Method used

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  • Method for classifying moving objects in video, method and device for analyzing traffic flow
  • Method for classifying moving objects in video, method and device for analyzing traffic flow
  • Method for classifying moving objects in video, method and device for analyzing traffic flow

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Embodiment 1

[0090] Embodiment 1 of the present invention provides a method for classifying moving objects in a video, the process of which is as follows figure 1 shown, including the following steps:

[0091] Step S101: Extract the motion tracks of each target object in the video.

[0092] Each target object is detected from the video sequence, and each target object is tracked in time series to obtain its spatial position in time series, and the motion trajectories of all target objects are obtained.

[0093] The aforementioned target object may be an object appearing in the video to be analyzed, such as a vehicle or a crowd, or any other specific object to be analyzed.

[0094] In the above-mentioned step S101, key points are detected from the video sequence, that is, all moving objects, and the selection of the moving object detection method has the following points for example:

[0095] 1. The motion characteristics of the target object, including its trajectory characteristics and ...

Embodiment 2

[0136] Embodiment 2 of the present invention provides a specific implementation manner in which the above-mentioned method for classifying moving objects in the video is applied to the application scenario of traffic flow analysis. The implementation process is aimed at the analysis of traffic flow. Figure 5 As shown, it specifically includes the following steps:

[0137] Step S501: Obtain an input video sequence.

[0138] The input is a video sequence of traffic flow information captured by road cameras. The video sequence may be input in real time, or integrated as a whole. The traffic flow analysis device obtains the video sequence of the traffic flow information captured by the input road camera, and then determines the sequence length of the video sequence analyzed each time, and the sequence length of the video sequence analyzed each time can be determined in the following manner:

[0139] Method 1: According to the real-time requirements of the analysis, if the real-...

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Abstract

The invention discloses a method for classifying moving objects in a video, a method and a device for analyzing traffic flow. The method includes: extracting the motion trajectories of each target object in the video; performing the similarity modeling of the spatio-temporal relationship on the motion trajectories of each target object, and determining the spatio-temporal similarity between the motion trajectories of each target object; using the According to the spatio-temporal similarity between the trajectories of each target object, the trajectories of each target object are clustered to obtain groups of target objects that are similar in time and space. It can ensure the speed and accuracy of video data monitoring and the effectiveness of abnormal event detection.

Description

technical field [0001] The invention relates to the fields of pattern recognition, machine learning and computer vision, and in particular to a method for classifying moving objects in video, a method and a device for analyzing traffic flow. Background technique [0002] With the rapid development of digital network technology, video images have become an important carrier of information transmission. By the end of 2011, the number of food surveillance cameras in Guangdong Province alone exceeded 1.1 million. At the same time, the monitoring data generated by these surveillance cameras is also growing. The large amount of rich motion information contained in video image sequences has aroused people's great interest. [0003] Traditional monitoring methods rely on manual monitoring of video recordings, which will obviously increase more and more labor costs. Due to the limited number of video channels for manual simultaneous monitoring, for some huge systems, there are mor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/52G06V10/30G06V10/762G06K9/62
CPCG06V20/52G06V10/30G06F18/231
Inventor 宋景选曹黎俊
Owner 北京华道兴科技有限公司
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