Learning Activity-Based Ground Models from a Moving Helicopter Platform

— 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.

• Type: Conference
• Year: 2005
• Where: ICRA
• Authors: Andrew Lookingbill, David Lieb, David Stavens, Sebastian Thrun
• Keywords: Activity-based Ground Models, Activity-based Models, ICRA 2005, Particle filter Approach, Robotics