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» Modeling complex luminance variations for target tracking
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CVPR
2010
IEEE
15 years 5 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
GI
2009
Springer
14 years 7 months ago
Group Tracking in an Air Surveillance System
: An operational Air Surveillance System shall generate a stable and reliable air picture. In dense target situations the quality of available sensor data is reduced. System models...
Wolfgang Konle
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
ECCV
2002
Springer
15 years 11 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
JMM2
2006
212views more  JMM2 2006»
14 years 9 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...