Title :
Tracking and measuring a moving object with a binocular camera system
Author :
Zhu, K. ; Ruan, Q.Q. ; Yang, T.W. ; Wang, H.B.
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Beijing Jiaotong Univ., Beijing
Abstract :
In this paper, new approaches to track and measure a moving object in 3D space are presented with a binocular camera system. As the moving object out of the field of view, one or two cameras of the pan-tilt binocular system are controlled to search the object, and compute its position in a world coordinate system. Tracking and measuring of a specified object can be done in real time as the cameras moving, without recalibrating the two cameras. Adaptive background model and CamShift algorithm are used respectively to identify moving objects. Experimental results are shown here to demonstrate the effectiveness of the proposed methods.
Keywords :
cameras; image motion analysis; object detection; target tracking; 3D space; CamShift algorithm; adaptive background model; binocular camera system; moving object tracking; pantilt binocular system; Cameras; Computer vision; Control systems; Humans; Machine vision; Mobile robots; Q measurement; Robot control; Robot vision systems; Target tracking;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697397