Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera
- Authors
- Lee, Seungwon; Jeong, Kyungwon; Park, Jinho; Paik, Joonki
- Issue Date
- Jan-2015
- Publisher
- MDPI AG
- Keywords
- object tracking; depth estimation; computational camera; image registration; 3D image acquisition
- Citation
- SENSORS, v.15, no.1, pp 995 - 1007
- Pages
- 13
- Journal Title
- SENSORS
- Volume
- 15
- Number
- 1
- Start Page
- 995
- End Page
- 1007
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/10051
- DOI
- 10.3390/s150100995
- ISSN
- 1424-8220
1424-3210
- 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.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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