2012/11/01 by Francisco Jurado, Guillermo Palacios, Francisco Flores · 1 citation
Computer Science · #Video Surveillance and Tracking Methods #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques #Computer vision #Artificial intelligence #Computer science #Trajectory #Tracking (education) #Centroid #Tracking system #Video tracking #Track (disk drive) #Software #Object detection #Object (grammar) #Position (finance) #Kalman filter
paper · doi:10.1109/cerma.2012.13
openalex publication_date 2012/11/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
In this paper, we propose a vision-based system for real-time 3D trajectory tracking. The vision system is implemented using the KINECT sensor (color and depth cameras). Image processing is performed using freeware and open source software. The image processing recovers the 3D position vector for the centroid of the target to track. We define a target object to track in a 3D space in order to emulate, on a virtual reality environment, a quad rotor which describes the trajectory traced on the 3D scene. A state feedback control scheme for the quad rotor is implemented on Simulink, on which information from the KINECT sensor is supplied as reference signals. The color-based object tracking approach is used. Experimental results validate our proposed method.