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

Sensors

Seungwon Lee¹  Kyungwon Jeong¹  Jinho Park¹ 

[1] Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea;

关键词: object tracking;    depth estimation;    computational camera;    image registration;    3D image acquisition;   

DOI  :  10.3390/s150100995

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.