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Method for counting pedestrian flow from multiple views under complex scene of traffic junction

A technology for complex scenes and traffic intersections. It is applied to the counting, calculation, and counting objects of randomly distributed items. It can solve problems such as inability to adapt to people flow statistics, inability to adjust camera angles, and inability to utilize existing equipment.

Active Publication Date: 2012-12-12
ZHENGZHOU JINHUI COMP SYST ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] 1. Adopt the method of identification and tracking, which requires high video quality, and requires the camera to shoot the human body with a vertical perspective (TOP-VIEW). It is mainly used in supermarkets, shopping centers, department stores, specialty stores, entertainment facilities, product exhibition halls, etc. Various commercial facilities with limited scope of application
[0011] 2. The existing equipment cannot be used, and special front-end acquisition equipment and other supporting hardware need to be reinstalled, which is costly and cannot protect the customer's existing equipment investment
[0012] 3. Poor adaptability, the camera angle cannot be adjusted, cannot deal with human body occlusion, and cannot adapt to the traffic statistics in complex scenes at traffic intersections

Method used

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  • Method for counting pedestrian flow from multiple views under complex scene of traffic junction
  • Method for counting pedestrian flow from multiple views under complex scene of traffic junction
  • Method for counting pedestrian flow from multiple views under complex scene of traffic junction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Embodiment one: see figure 2 , the present invention is applicable to the multi-view method of counting the flow of people in the complex scene of the traffic intersection, and its implementation steps are as follows:

[0050] First, use the hybrid codebook algorithm to model the background of the video, detect and segment moving objects;

[0051] Then, use the optical flow method to calculate the motion vector, get the speed and direction of the moving target, distinguish the vehicle and pedestrian according to the speed and direction of the moving target, remove the vehicle target, extract the pedestrian target and calculate the pedestrian direction;

[0052] Finally, a virtual door is set, and the number of pedestrian targets passing through the virtual door is counted according to the pedestrian direction and the pre-calibrated virtual door round-trip direction.

Embodiment 2

[0053] Embodiment two: see figure 2, image 3 , Figure 4 , this embodiment is applicable to the multi-view people flow statistics method in the complex scene of the traffic intersection, and the hybrid codebook model is used to realize the detection of the moving object.

[0054] Detection of moving objects is a fundamental task in many computer vision and video analysis applications. Currently commonly used and effective foreground detection methods include mixed Gaussian models, codebooks, and non-parametric background models.

[0055] The mixed Gaussian model uses the video frame to compare with the established mixed Gaussian background model, and estimates the moving target through the change of the reference quantity. This method can handle complex and slowly changing backgrounds, but when the environment changes drastically, the background model It will also fail, and due to the calculation of the probability distribution of each pixel, the computational complexity ...

Embodiment 3

[0077] Embodiment three: see figure 2 , image 3 , Figure 4 , Figure 5 , Image 6 , this embodiment is applicable to the multi-view pedestrian flow statistics method in the complex traffic intersection scene, using the optical flow method to calculate the speed and direction of the moving object, and distinguishing vehicles and pedestrians according to the speed and direction of the moving object.

[0078] The traffic intersection scene is complex, and there are a large number of mixed traffic of people and vehicles. If the vehicles passing through the intersection cannot be well filtered out, the statistical results will be greatly affected. At present, many people counting products adopt the method of recognition and classification. First, the characteristics of people or vehicles are extracted, and then the classifier is trained for training and classification, so as to achieve the purpose of separating people and vehicles. However, under the conditions of complex sc...

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Abstract

The invention relates to method for counting the pedestrian flow, in particular to a method for counting the pedestrian flow from multiple views under the complex scene of a traffic junction, comprising the following steps: carrying out background modeling to videos by adopting the hybrid code book algorithm, and detecting and segmenting the moving targets; calculating the movement vector by adopting the optical flow method to obtain the speed and the direction of the moving targets, distinguishing vehicles and pedestrians according to the speed and the direction of the moving targets, eliminating the vehicle targets, extracting the pedestrian targets, and calculating the direction of the pedestrians; setting a virtual door, and counting the pedestrian targets which enter and exit the virtual door according to the direction of the pedestrians and the predetermined direction of the pedestrians entering and exiting the virtual door. The method is suitable for counting the pedestrian flow from multiple views under the complex scene of the traffic junction by detecting the moving targets, extracting the pedestrians and counting the numbers of the pedestrians entering and exiting the virtual door in real time by adopting the virtual gate technology, has the counting accuracy of 90% and can adapt to the complex situation that the illumination of the outdoor environment is changeable, the shooting is carried out under changeable inclined angles, the human body resolution is low and the vehicles and the pedestrians run together.

Description

technical field [0001] The invention relates to a method for counting the flow of people, in particular to a method for counting the flow of people from multiple perspectives applicable to complex scenes at traffic intersections. Background technique [0002] With the increasing scale of cities and the diversification of road traffic modes, people's demand for urban traffic has increased rapidly, resulting in a substantial increase in traffic flow. Road infrastructure, traffic control and traditional intelligent traffic models are far from being able to adapt to cities. The development of transportation requires that the problems of traffic congestion and congestion are becoming more and more serious, and have become important livelihood issues that need to be solved urgently. [0003] The traffic flow detection system collects the traffic flow conditions of key intersections and hot spots in real time through the video collection front-end equipment installed at traffic int...

Claims

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Application Information

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IPC IPC(8): G06M11/00G06T7/20
Inventor 彭天强张晨民赵慧琴孙晓峰李丙涛陈智
Owner ZHENGZHOU JINHUI COMP SYST ENG
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