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A Method for Recognition of Causal Relationship Between Pedestrians Based on Momentum Dynamics Model

A momentum dynamics, causality technique for video analysis and image understanding

Active Publication Date: 2019-10-11
YANSHAN UNIV
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AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a method for identifying causal relationships between pedestrians based on a momentum dynamics model, with the purpose of solving the problem of identifying causal relationships among related targets in the field of small-scale crowd behavior analysis through video image analysis technology

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  • A Method for Recognition of Causal Relationship Between Pedestrians Based on Momentum Dynamics Model
  • A Method for Recognition of Causal Relationship Between Pedestrians Based on Momentum Dynamics Model
  • A Method for Recognition of Causal Relationship Between Pedestrians Based on Momentum Dynamics Model

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with accompanying drawing:

[0063] The causal relationship involved in the present invention includes three relationships: causing relationship, promoting relationship and hindering relationship. The causing relationship means that the target pedestrian has changed its initial movement direction due to the influence of external factors; The role of promotion and ultimately did not change its direction; the hindrance relationship means that the movement of the target pedestrian is hindered by external factors but does not change its initial movement direction; the initial momentum of the target pedestrian The impulse of the target pedestrian being repelled by other pedestrians predicted final momentum Actual measured final momentum 4 elements as a target pedestrian;

[0064] Such as figure 1 , figure 2 As shown, the identification method includes the following steps:

[0065] Step 1: Get the...

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Abstract

The invention discloses a causal relationship identification method based on a momentum dynamics model. According to the concept of causality, a momentum dynamic model is constructed, and a causal relationship discrimination method based on the momentum dynamics model is proposed to calculate the causal value. According to the range of the causal value, three pedestrians in the video are identified. This kind of causal relationship overcomes the defect that other causal relationship models cannot quantitatively analyze the causal relationship between targets, and realizes the accurate identification of the causal relationship between pedestrians by intelligent monitoring.

Description

technical field [0001] The invention relates to the field of video analysis and image understanding, in particular to a method for identifying the relationship between targets based on a momentum dynamics model. Background technique [0002] In the field of crowd behavior analysis, research on behavior recognition, classification, and pedestrian attribute recognition has been going on for many years. Human behavior recognition is divided into three parts, namely mobile recognition, action recognition and behavior recognition. Although domestic and foreign scholars have done some research on the analysis of pedestrian behavior, they are still limited to the thinking and analysis of pedestrian behavior itself, and there are few studies on the reasons for the formation of behavior. Foreign psychologists summarize the connection between objects in nature and classify them according to certain rules, forming a theory to describe the causal connection between things that exist wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/41
Inventor 张旭光吴格非
Owner YANSHAN UNIV