Title :
Vehicle ground-truth database for the vertical-view Ft. Hood imagery
Author :
Liu, Gang ; Haralick, Robert M.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
Reports work on building the ground-truth databases for the vehicles in the vertical-view Ft. Hood (VVFH) image data set. We briefly describe the protocols followed in manual annotation of the images, how the ground-truth information is inferred from the annotated image data, and the major entities in the ground-truth database. The vehicle detection performance of a few algorithms is evaluated using the data set. The entire data set of images and ground-truth is available on the Internet
Keywords :
object detection; vehicles; visual databases; manual image annotation; vehicle detection performance; vehicle ground-truth database; vertical-view Ft. Hood imagery; Bayesian methods; Image databases; Internet; Land vehicles; Neural networks; Pixel; Road vehicles; Spatial databases; Training data; Vehicle detection;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905348
