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2010 | OriginalPaper | Buchkapitel

1. 2D/3D Image Data Analysis for Object Tracking and Classification

verfasst von: Seyed Eghbal Ghobadi, Omar Edmond Loepprich, Oliver Lottner, Klaus Hartmann, Wolfgang Weihs, Otmar Loffeld

Erschienen in: Advances in Machine Learning and Data Analysis

Verlag: Springer Netherlands

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Abstract

Object tracking and classification is of utmost importance for different kinds of applications in computer vision. In this chapter, we analyze 2D/3D image data to address solutions to some aspects of object tracking and classification. We conclude our work with a real time hand based robot control with promising results in a real time application, even under challenging varying lighting conditions.

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Fußnoten
1
For example PMD-40K (200 ×200 pixels), Swissranger 4000 (176 ×144 pixels) and ZCam-prototype (320 ×480 pixels).
 
2
Levenberg-Marquardt algorithm; the optimization criterion is the sum of squared distances of the individual points.
 
Literatur
2.
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3.
Zurück zum Zitat Cerlinca, T.L., Pentiuc, S.G. and Cerlinca, M.C.: Hand Posture Recognition for Human-Robot Interaction. Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction,2007. Cerlinca, T.L., Pentiuc, S.G. and Cerlinca, M.C.: Hand Posture Recognition for Human-Robot Interaction. Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction,2007.
4.
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6.
Zurück zum Zitat Lottner, O., Hartmann, K., Weihs, W. and Loffeld, O.: Image Registration and Calibration aspects for a new 2D/3D camera, EOS Conference on Frontiers in Electronic Imaging, June 2007, Munich, Germany. Lottner, O., Hartmann, K., Weihs, W. and Loffeld, O.: Image Registration and Calibration aspects for a new 2D/3D camera, EOS Conference on Frontiers in Electronic Imaging, June 2007, Munich, Germany.
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Zurück zum Zitat Gokturk, S.B., Yalcin, H. and Bamji, C.: A Time of Flight Depth Sensor, System Description, Issues and Solutions, on IEEE workshop on Real-Time 3D Sensors and Their Use in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Washington, USA 2004. Gokturk, S.B., Yalcin, H. and Bamji, C.: A Time of Flight Depth Sensor, System Description, Issues and Solutions, on IEEE workshop on Real-Time 3D Sensors and Their Use in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Washington, USA 2004.
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12.
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Metadaten
Titel
2D/3D Image Data Analysis for Object Tracking and Classification
verfasst von
Seyed Eghbal Ghobadi
Omar Edmond Loepprich
Oliver Lottner
Klaus Hartmann
Wolfgang Weihs
Otmar Loffeld
Copyright-Jahr
2010
Verlag
Springer Netherlands
DOI
https://doi.org/10.1007/978-90-481-3177-8_1

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