Passenger flow tracking method

A passenger flow and structure technology, applied in the field of image processing, can solve the problems of inability to achieve real-time effects, high algorithm power consumption, low accuracy, etc., and achieve the effect of reducing over-counting and over-counting

Active Publication Date: 2021-04-06
深圳市图敏智能视频股份有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Specifically, because the occupants in the car shake in the recognition area, the existing tracking algorithms are likely to cause miscalculations. For example, some people use Kalman filter tracking, which is only suitable for straight line tracking. The shaking of people is a random movement, so At this time, Kalman filter tracking is used to track the shaking of the identification area, which is often intermittent, which is easy to cause overcounting, and t...

Method used

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Embodiment Construction

[0023]Next, the technical solutions in the embodiments of the present invention will be apparent from the drawings in which the embodiments of the present invention will be apparent from the accompanying drawings, which is apparent from the embodiments of the present invention, and not all of the embodiments of the present invention. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0024]Referfigure 1,figure 1It is a flow chart of the tracking method of the passenger flow in this embodiment. This embodiment provides a trace method of passenger flow, and specifically includes the following steps:

[0025]S10: Get a multi-frame continuous image taken by the camera, import calibration parameters, and obtain depth maps by stereoscopic algorithm.

[0026]It should be noted that the camera used in this embodiment is a double-eyed camera, with infrared fill light, so at night, the bino...

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Abstract

The invention discloses a passenger flow tracking method, and belongs to the technical field of image processing. The method specifically comprises the steps of obtaining multiple frames of continuous images shot by a camera, and solving a depth map through stereo matching; eliminating background interference, and segmenting each human head into an independent connected region; constructing a plurality of people counting structural bodies; calculating the minimum value of the sum of optimal matching different rows and different columns of the bipartite graphs of the plurality of two-dimensional arrays by using a KM algorithm; and solving the Euclidean distance between the center coordinate of the connected region of the previous frame and the first point of the track point of the structure body. When the method is used for tracking passenger flow, even if passengers get on the bus shake in a visible area, the tracking algorithm can still track the passengers all the time and is not easy to lose, the method is not only suitable for linear motion, but also suitable for tracking curvilinear motion and random motion, and the algorithm can realize real-time and accurate tracking of multiple persons even if the passengers get on and off the bus are crowded, and the missing metering and overmetering problems are reduced.

Description

Technical field[0001]The present invention relates to the field of image processing, and more particularly to a tracking method of passenger flow.Background technique[0002]The bus is an important public transport in people. Through the statistics of the passenger flow, we can learn about the traffic of each time, each bus, each station, etc., using these data intelligent scheduling, allowing public resources to be more fully utilized, the accuracy of passenger flow statistics Directly affect the operation of intelligent transportation and bus operations. By showing the status of the current passenger and changes, the bus stop can take measures to prevent emergencies in situations of the number of people.[0003]The existing passenger flow statistics technology main means there is a weighing statistical, single-graphic image statistics, and binocular image statistics, which is the most accurate due to its additional stereo height (distance) information on the basis of single-dimensiona...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/62G06K9/00G06K9/34
CPCG06T7/246G06T7/62G06V40/10G06V20/53G06V10/267
Inventor 张少锋张先旺
Owner 深圳市图敏智能视频股份有限公司
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