학술논문
Learning Activity-Based Ground Models from a Moving Helicopter Platform
Document Type
Conference
Author
Source
Proceedings of the 2005 IEEE International Conference on Robotics and Automation Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on. :3948-3953 2005
Subject
Language
ISSN
1050-4729
Abstract
We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. Such models offer a number of potential benefits. In this paper we demonstrate the ability of activity-based models to improve the performance of an object motion tracker as well as their applicability to global registration of video sequences.