Telemetry-Based Search Window Correction for Airborne Tracking
Collection title:
Advances in Visual Computing
Collection subtitle:
10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I
Collection editors:
Bebis, George; Boyle, Richard; Parvin, Bahram; Koracin, Darko; McMahan, Ryan; Jerald, Jason; Zhang, Hui; Drucker, Steven M.; Kambhamettu, Chandra; El Choubassi, Maha; Deng, Zhigang; Carlson, Mark
Series title:
Lecture Notes in Computer Science
Series volume:
8887
Conference title:
International Symposium on Visual Computing (10., 2014, Las Vegas, NV)
Conference title:
ISVC 2014
Venue:
Las Vegas
Year of conference:
2014
Date of conference beginning:
08.12.2014
Date of conference ending:
10.12.2014
Publisher:
Springer International Publishing
Year:
2014
Pages from - to:
457-466
Language:
Englisch
Abstract:
Tracking from airborne cameras is very challenging, since most assumptions made for fixed cameras do not hold. Therefore, com- pensation of platform ego-motion is seen as a necessary pre-processing step. Most existing methods perform image registration or matching, which involves costly image transformations, and have a restricted opera- tional range. In this paper, a novel ego-motion compensation approach is presented, that transforms the local search window of the visual tracker. This is much more computationally efficient, and can be applied re- gardless of the amount of texture in the background. Experiments with ground truth and tracker output data are conducted and show the va- lidity of the approach. 1 «
Tracking from airborne cameras is very challenging, since most assumptions made for fixed cameras do not hold. Therefore, com- pensation of platform ego-motion is seen as a necessary pre-processing step. Most existing methods perform image registration or matching, which involves costly image transformations, and have a restricted opera- tional range. In this paper, a novel ego-motion compensation approach is presented, that transforms the local search window of the visual tracker. This is much... »