title: Three-dimensional object motion and velocity estimation using a single computational RGB-D camera.
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.
authors.affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. superlsw@gmail.com.
authors.forename: Seungwon
authors.initials: S
authors.lastname: Lee
authors.affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. fjqmsa@gmail.com.
authors.forename: Kyungwon
authors.initials: K
authors.lastname: Jeong
authors.affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. dkskzmffps@gmail.com.
authors.forename: Jinho
authors.initials: J
authors.lastname: Park
authors.affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. paikj@cau.ac.kr.
authors.forename: Joonki
authors.initials: J
authors.lastname: Paik