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Method and system for determining that road pedestrians have attraction relationship

A pedestrian and suction technology, applied in the direction of road vehicle traffic control system, collision avoidance system, traffic control system, etc., can solve the problem of pedestrians becoming dangerous pedestrians.

Active Publication Date: 2019-01-04
DALIAN NATIONALITIES UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many unexpected situations on the road that may cause pedestrians to change from ordinary pedestrians to dangerous pedestrians in an instant

Method used

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  • Method and system for determining that road pedestrians have attraction relationship
  • Method and system for determining that road pedestrians have attraction relationship
  • Method and system for determining that road pedestrians have attraction relationship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] Repulsion pedestrian classification situation

[0082] This example is aimed at the classification of repulsive pedestrians, and the simulation results are as follows figure 2 Shown. figure 2 Lists the three images in the continuous video frame and the pedestrian classification result of this frame. Among them, the magnetic probability of pedestrians only meets the requirement of magnetic pedestrians. In the video, three pedestrian targets move at a speed of about 1.2m / s, of which two pedestrians move in a positive direction and one pedestrian moves in a negative direction, and they all keep moving in a straight line without changing the moving speed. From frame 8 to frame 33, pedestrians B and C keep approaching. Until the 33rd frame, the repulsion probability of pedestrians B and C exceeds δ, and they are judged as repulsive pedestrians. Similarly, at the 72nd frame, when the repulsion probability of pedestrians A and C exceeds δ, they are judged to be repulsive pedes...

Embodiment 2

[0084] Classification of suction pedestrians

[0085] This example is aimed at the classification of repulsive pedestrians, and the simulation results are as follows image 3 Shown. image 3 The three images in the continuous video frame and the pedestrian classification result of this frame are listed. Among them, the magnetic probability of pedestrians only meets the requirements of magnetic pedestrians. In the video, the three pedestrian targets move in the positive direction at a speed of about 1.2m / s, and all keep moving in a straight line without changing the moving speed. From frame 11 to frame 39, pedestrians B and C keep walking together. Until the 39th frame, the suction probability of pedestrians B and C exceeds δ, and they are judged as suction pedestrians. At the next 75th frame, pedestrians B and C maintain the judgment result of the suction pedestrian.

Embodiment 3

[0087] Classification of non-magnetic pedestrians

[0088] This example is aimed at the classification of non-magnetic pedestrians. The simulation results are as follows Figure 4 Shown. Figure 4 The three images in the continuous video frame and the pedestrian classification results of this frame are listed. Among them, the magnetic probability of the pedestrian only has the probability of no magnetic force to meet the determination requirements of the magnetic pedestrian. In the video, the three pedestrian targets move in the negative direction at different speeds, and all keep moving in a straight line without changing the moving speed. The speed of pedestrian A is about 0.5m / s, and the speed of pedestrians B and C is about 1.3m / s. . In the ninth frame, the non-magnetic probability of pedestrian A is calculated to be 1, and it is determined as a non-magnetic pedestrian. In the subsequent 42nd and 103rd frames, pedestrian A maintains the determination result of non-magnetic pe...

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Abstract

The invention discloses a method and a system for determining that road pedestrians have an attraction relationship. The method and the system belong to the field of tracking and processing moving targets, and aim at solving the problem of determining that the road pedestrians have the attraction relationship. Among a plurality of pedestrians walking in the same direction, two or more pedestrianswalk in an overlapping or neighboring state, and the direction and magnitude of their moving speeds are similar. The method and the system determine whether the current pedestrians have the above defined relationship by adopting a method of calculating probability of the attraction relationship, thereby enabling intelligent determination of whether the pedestrian are attraction pedestrians by adopting the above scheme.

Description

Technical field [0001] The invention belongs to the field of moving target tracking and processing, and specifically is a classification method that uses a magnetic model to distinguish the potential danger degree of road pedestrians. Background technique [0002] Moving target tracking processing technology is an important research topic in the field of machine vision, and with the application of autonomous vehicles and assisted driving systems, how to reasonably use target tracking processing technology to protect the safety of pedestrians and vehicles is now a hot research direction. . [0003] At present, when only the vehicle-mounted camera is used, classifying pedestrians by analyzing the historical movement trajectory and speed of the pedestrians is a main way to protect the safety of pedestrians and vehicles by using target tracking processing technology. First, analyze the pedestrian's moving trajectory and speed to calculate the probability of pedestrian collision with t...

Claims

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Application Information

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IPC IPC(8): G08G1/16
CPCG08G1/166
Inventor 毛琳杨大伟许烨豪
Owner DALIAN NATIONALITIES UNIVERSITY
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