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ICCV
2009
IEEE
15 years 29 days ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
ICPR
2010
IEEE
13 years 11 months ago
Extrinsic Camera Parameter Estimation Using Video Images and GPS Considering GPS Positioning Accuracy
Abstract--This paper proposes a method for estimating extrinsic camera parameters using video images and position data acquired by GPS. In conventional methods, the accuracy of the...
Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, N...
PAMI
2002
149views more  PAMI 2002»
13 years 7 months ago
Region Tracking via Level Set PDEs without Motion Computation
Tracking regions in an image sequence is a challenging and di cult problem in image processing and computer vision, and at the same time, one that has many important applications:...
Abdol-Reza Mansouri
CVPR
2010
IEEE
14 years 3 months ago
Rectifying rolling shutter video from hand-held devices
This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being cau...
Per-Erik Forssen, Erik Ringaby
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade