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» Multiple Object Tracking Using Local PCA
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CVPR
2008
IEEE
14 years 10 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ICIP
2008
IEEE
14 years 10 months ago
Live video object tracking and segmentation using graph cuts
Graph cuts have proven to be powerful tools in image segmentation. Previous graph cut research has proposed methods for cutting across large graphs constructed from multiple layer...
Zachary A. Garrett, Hideo Saito
ICIP
2010
IEEE
13 years 6 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
ICCV
2003
IEEE
14 years 1 months ago
Tracking Across Multiple Cameras With Disjoint Views
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mub...
ECCV
2010
Springer
13 years 8 months ago
Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera
Tracking multiple objects is important in many application domains. We propose a novel algorithm for multi-object tracking that is capable of working under very challenging conditi...
Wongun Choi, Silvio Savarese