JOURNAL ARTICLE

Real-time 3-D object tracking using Kinect sensor

Abstract

In this paper, we propose a novel method for real-time three-dimensional (3-D) object tracking based on integration of 3-D range and color information. To get 3D range and color information simultaneously, our method utilizes the Microsoft Kinect sensor which is composed of depth and color cameras. 3-D range and color information are integrated using the estimated depth and color cameras intrinsic parameters and relative transformation between the cameras. The target region can be tracked by processing depth pixels with color information. Through experiment in real environment, we confirm the validity of our method.

Keywords:
Computer vision Artificial intelligence Computer science Tracking (education) Pixel Transformation (genetics) Object (grammar) Range (aeronautics) Video tracking Computer graphics (images) Engineering

Metrics

25
Cited By
2.56
FWCI (Field Weighted Citation Impact)
11
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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