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APVIS
2010
15 years 7 months ago
Motion track: Visualizing variations of human motion data
This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of eac...
Yueqi Hu, Shuangyuan Wu, Shihong Xia, Jinghua Fu, ...
ICIP
2006
IEEE
16 years 8 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
CVPR
2007
IEEE
16 years 8 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
ECCV
2008
Springer
16 years 8 months ago
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
Junseok Kwon, Kyoung Mu Lee
ICPR
2006
IEEE
16 years 7 months ago
Multiple Object Tracking Using Local PCA
Tracking multiple interacting objects represents a challenging area in computer vision. The tracking problem in general can be formulated as the task of recovering the spatio-temp...
Bernhard Frühstück, Csaba Beleznai, Hors...