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- W2121821659 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." @default.
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- W2121821659 date "2006-01-18" @default.
- W2121821659 modified "2023-09-26" @default.
- W2121821659 title "Learning Activity-Based Ground Models from a Moving Helicopter Platform" @default.
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- W2121821659 doi "https://doi.org/10.1109/robot.2005.1570724" @default.
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