Title :
Robust appearance-based tracking of moving object from moving platform
Author :
Shao, Jie ; Zhou, Shaohua Kevin ; Zheng, Qinfen
Author_Institution :
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
Abstract :
We present a robust algorithm for tracking moving objects from a moving platform. Robustness is achieved by incorporating temporal differencing and shape detection in an appearance-based object tracking algorithm. In addition, the incorporation of these two methods also improves accuracy and computational efficiency of detection. Some experimental results using airborne-video tracking are given to illustrate the effectiveness of this method.
Keywords :
object detection; tracking; video signal processing; airborne-video tracking; detection computational efficiency; moving object tracking; robust algorithm; shape detection; Automation; Computational efficiency; Educational institutions; Inference algorithms; Object detection; Particle filters; Particle tracking; Robustness; Shape; Target tracking;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333742
