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ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
15 years 11 months ago
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. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...
PRICAI
2004
Springer
15 years 11 months ago
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Background elimination models are widely used in motion tracking systems. Our aim is to develop a system that performs reliably under adverse lighting conditions. In particular, th...
Stewart Greenhill, Svetha Venkatesh, Geoff A. W. W...
SI3D
2006
ACM
16 years 6 hour ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...
ICPR
2008
IEEE
16 years 7 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
EGITALY
2006
15 years 7 months ago
An Architecture for Distributed Behavioral Models with GPUs
We describe an architecture for massive simulation of a distributed behavioral model using graphics hardware. By leveraging on the recent programmable capabilities of GPUs we impl...
Rosario De Chiara, Ugo Erra, Vittorio Scarano