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Sensors 2015, 15(1), 995-1007; doi:10.3390/s150100995

Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera

Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea
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Received: 13 November 2014 / Accepted: 26 December 2014 / Published: 8 January 2015
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, a three-dimensional (3D) object moving direction and velocity estimation method is presented using a dual off-axis color-filtered aperture (DCA)-based computational camera. Conventional object tracking methods provided only two-dimensional (2D) states of an object in the image for the target representation. The proposed method estimates depth information in the object region from a single DCA camera that transforms 2D spatial information into 3D model parameters of the object. We also present a calibration method of the DCA camera to estimate the entire set of camera parameters for a practical implementation. Experimental results show that the proposed DCA-based color and depth (RGB-D) camera can calculate the 3D object moving direction and velocity of a randomly moving object in a single-camera framework. View Full-Text
Keywords: object tracking; depth estimation; computational camera; image registration; 3D image acquisition object tracking; depth estimation; computational camera; image registration; 3D image acquisition
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lee, S.; Jeong, K.; Park, J.; Paik, J. Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera. Sensors 2015, 15, 995-1007.

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