Title :
Object Tracking in Unmanned Aerial Vehicle (UAV) Videos Using a Combined Approach
Author_Institution :
Dept. of Comput. Sci., City Univ. of New York, Staten Island, NY, USA
fDate :
March 18-23, 2005
Keywords :
clutter; computational complexity; image segmentation; image sequences; object detection; optical noise; optical tracking; random noise; statistical analysis; video signal processing; UAV video sequences; clutter; computational complexity; high gradient noise; initialization; manual parameter tuning; modified statistical deformable model; object tracking; partial occlusion; snake model; spatiotemporal segmentation; unmanned aerial vehicle videos; Background noise; Cameras; Computational complexity; Deformable models; Image resolution; Mice; Spatiotemporal phenomena; Target tracking; Unmanned aerial vehicles; Video sequences;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415496
