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» Detecting Uncommon Trajectories
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SSIAI
2002
IEEE
14 years 1 months ago
Automated Detection of All Kinds of Violations at a Street Intersection Using Real Time Individual Vehicle Tracking
2. Tracking traveling trajectory The traveling trajectory of eachvehicle is evaluatedfrom the analog images of 30 frames/sec.The computation of a traveling trajectory is mainly di...
Dae-Woon Lim, Sung-Hoon Choi, Joon-Suk Jun
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
IPMI
2005
Springer
14 years 9 months ago
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Abstract. Most of the approaches dedicated to fiber tracking from diffusionweighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orient...
Muriel Perrin, Cyril Poupon, Yann Cointepas, Berna...
SIGMOD
2005
ACM
113views Database» more  SIGMOD 2005»
14 years 2 months ago
Robust and Fast Similarity Search for Moving Object Trajectories
An important consideration in similarity-based retrieval of moving object trajectories is the definition of a distance function. The existing distance functions are usually sensi...
Lei Chen 0002, M. Tamer Özsu, Vincent Oria
PAMI
2002
112views more  PAMI 2002»
13 years 8 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent