DocumentCode :
1760350
Title :
Integrating the Microsoft Kinect With Simulink: Real-Time Object Tracking Example
Author :
Fabian, Joshua ; Young, Terry ; Peyton Jones, James C. ; Clayton, Garrett M.
Author_Institution :
Dept. of Mech. Eng., Villanova Univ., Villanova, PA, USA
Volume :
19
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
249
Lastpage :
257
Abstract :
The introduction of low-cost, relatively high-resolution 3-D sensing systems, like the Microsoft Kinect, has considerable potential in autonomous system applications. One of the impediments to wider Kinect application development is that the available Kinect drivers define C language interfaces. To help fully realize the Kinect´s potential, the aims of this paper are 1) to develop a “VU-Kinect ” block which provides easy access to the sensor´s camera and depth image streams, and which enables them to be incorporated seamlessly within a higher level, Simulink-based, image-processing and real-time control strategy; 2) to address implementation issues associated with the Kinect, such as sensor calibration; and 3) to show the utility of both the VU-Kinect block and the Kinect itself through a simple 3-D object tracking example.
Keywords :
calibration; device drivers; image colour analysis; image sensors; object tracking; C language interfaces; Microsoft Kinect drivers; RGB-D cameras; Simulink-based image-processing strategy; VU-Kinect block; autonomous system applications; depth image streams; high-resolution 3D sensing systems; real-time control strategy; real-time object tracking; sensor calibration; sensor camera; Calibration; Cameras; Mathematical model; Real-time systems; Robot sensing systems; Software packages; Streaming media; Kinect; RGB-D cameras; Simulink; vision systems;
fLanguage :
English
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
Publisher :
ieee
ISSN :
1083-4435
Type :
jour
DOI :
10.1109/TMECH.2012.2228010
Filename :
6384789
Link To Document :
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