DocumentCode :
2389600
Title :
RoboKinect — A low-cost mobile vision system for 2.5D object detection
Author :
Lipinski, P. ; McCabe, S. ; Stark, A. ; Di Caterina, G. ; Clemente, C. ; Soraghan, J.J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Strathclyde, Glasgow, UK
fYear :
2012
fDate :
13-14 Sept. 2012
Firstpage :
276
Lastpage :
280
Abstract :
The new generation of 3D imaging sensors allows to go beyond the traditional 2D object detection. In this paper a low-cost robotic platform exploiting the sensing capabilities of the Microsoft Kinect is presented. The developed mobile vision system is called RoboKinect and it utilises affordable hardware components such as the Texas Instruments OMAP-based BeagleBoard and the MSP430 microcontroller, as well as open-source software. In addition we implemented a novel technique for 2.5D object detection exploiting the depth map from the Microsoft Kinect. We present also some results from the preliminary testing of the algorithm on the mobile platform.
Keywords :
image sensors; object detection; public domain software; robot vision; 2.5D object detection; 3D imaging sensors; MSP430 microcontroller; Microsoft Kinect; RoboKinect; Texas Instruments OMAP-based BeagleBoard; low-cost mobile vision system; open-source software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education and Research Conference (EDERC), 2012 5th European DSP
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-4595-8
Electronic_ISBN :
978-1-4673-4595-8
Type :
conf
DOI :
10.1109/EDERC.2012.6532271
Filename :
6532271
Link To Document :
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