Title :
Real-time object tracking
Author :
Wang, H. ; Goh, W.L. ; Chua, C.S. ; Sim, C.T.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
This paper describes an improved approach in the implementation of a monocular object tracking system in real time. Visual processing is performed in a smaller field of view (or called fovea window) extracted from an image. The visual processing method makes use of a corner detector to identify corners (or features) of the object appearing in the fovea window. The overall system was tested using a model train and results of tracking activities, at a frame rate of 15 Hz, were found to be satisfactory
Keywords :
computer vision; edge detection; feature extraction; object detection; real-time systems; target tracking; tracking; 15 Hz; corner detector; feature detection; feature extraction; fovea window; model train; monocular object tracking system; real-time object tracking; visual processing; Automatic control; Cameras; Detectors; Feature extraction; Hardware; Object detection; Pixel; Real time systems; Sun; System testing;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
DOI :
10.1109/IECON.1995.483995
