Kinect three-dimensional depth image-based head identification and tracking method

Abstract

The invention discloses a Kinect three-dimensional depth image-based head identification and tracking method. An original depth image outputted by a Kinect sensor is first analyzed in order to find out the corresponding relation between distances and gray levels; a target is split, i.e., the original depth image is reversed after the corresponding relation between distances and gray levels is calibrated, so that a gray image is obtained, a clustering algorithm is adopted to divide heads and shoulders in the gray image into two categories, and a histogram is utilized to work out gray level-split gray images, so that a binary image sequence is obtained; the heads are identified, tracked and counted, i.e., on the basis of the ellipse-like shapes and sizes of human heads, the spatial positions of the heads and the shoulders and other features, the binary image sequence and the gray image are traversed, the positions of the human heads are identified, tracks are established, and people who come in and go out are counted. The method solves a lot of problems in current passenger flow statistics, such as crowding and environmental affection, VS2008 software is utilized for simulation, the feasibility and stability of the system are determined, and the precision of the system is higher than 93 percent.

Description

technical field [0001] The invention belongs to the field of digital image processing and pattern recognition, in particular to a head recognition and tracking method based on a Kinect three-dimensional depth image. Background technique [0002] With the continuous development of computer technology and statistical analysis technology, passenger flow statistics has begun to enter the automation stage, and it has become possible to obtain passenger flow information in real time and reliably. At the same time, the importance of passenger flow information is increasingly manifested. For public transportation systems such as buses, subways, long-distance buses, and railways, it will be convenient for the company to adjust routes, allocate resources reasonably, and improve the utilization rate of resources by mastering the traffic flow, flow time, and distribution of each line and each station in detail. It can provide data support for the development of intelligent transportati...

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide a kind of head identification based on Kinect three-dimensional depth image that can automatically identify and track a human head ...

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