A new kinect-based target pedestrian trajectory tracking method

A trajectory tracking and target technology, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the problems of unable to track the target pedestrian trajectory, increase the complexity of video processing, etc., achieve high recognition rate, reduce difficulty, and simple calculation

Inactive Publication Date: 2020-05-26
NORTHWESTERN POLYTECHNICAL UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, nowadays most of the trajectory tracking of target pedestrians adopts the traditional tracking processing algorithm directly for video, which greatly increases the complexity of video processing, and in practical applications, it is often impossible to track the trajectory of target pedestrians in time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A new kinect-based target pedestrian trajectory tracking method
  • A new kinect-based target pedestrian trajectory tracking method
  • A new kinect-based target pedestrian trajectory tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be described in detail below with reference to the accompanying drawings.

[0016] First, build a gait database: enable the skeleton tracking function of the SDK, and write a WPF program to obtain the gait features, obtain the feature vector data of the gait features, output these data to a txt text file, and output the bone tracking calibration at the same time color images, and color video streams at the same time.

[0017] 1) Write a WPF program to obtain gait feature vector data

[0018] Gait feature vectors include arm length, leg length, height, step length, angle between upper arm and spine, angle between forearm and spine, angle between upper arm and forearm, thigh and calf The angle between them, the distance from the center of mass of the upper body to the center of mass of the left and right arms, and the distance from the center of mass of the upper body to the center of mass of the left and right legs. The specific method of cal...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The purpose of the present invention is to develop a gait recognition and classification system, which aims to help the security department identify suspicious persons who have appeared from a large number of surveillance videos, track the target pedestrian, and then determine the range of action of the person. The security department cracked the case and provided clues. It can be realized in the following way: establish a gait database, open the skeleton tracking function of the SDK, write a WPF program to obtain the gait features, obtain the feature vector data of the gait features, output these data to a txt text file, and output the bones passing through at the same time Track the calibrated color image and the color video stream at the same time; develop a gait recognition classification system, develop a classification recognition system through C++, and use the improved nearest classification algorithm to achieve system classification; track the target pedestrian, according to the identified The target gait data at the same time is used to find the video segment where the target pedestrian is at the same time.

Description

technical field [0001] The invention relates to the design of an intelligent monitoring system for human body recognition. Specifically, a human body gait database is firstly established, and then a classification and recognition system is developed to inquire target pedestrians to track their tracks. Background technique [0002] Trajectory tracking of target pedestrians can not only help the security department identify suspicious persons who have appeared from a large number of surveillance videos, but also determine the range of action of the person, providing clues for the security department to detect cases. [0003] However, nowadays most of the trajectory tracking of target pedestrians adopts the traditional tracking processing algorithm directly for video, which greatly increases the complexity of video processing, and often cannot track the trajectory of target pedestrians in time in practical applications. Contents of the invention [0004] The purpose of the pr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/25G06V20/52
Inventor 邓正宏黄一杰马春苗杨川张琦玮
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products