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» A New Method for Auto-calibrated Object Tracking
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ACIVS
2007
Springer
14 years 1 months ago
Joint Tracking and Segmentation of Objects Using Graph Cuts
This paper presents a new method to both track and segment objects in videos. It includes predictions and observations inside an energy function that is minimized with graph cuts. ...
Aurélie Bugeau, Patrick Pérez
ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
GI
2005
Springer
14 years 27 days ago
Reentry of Space Objects: Tracking and Classification with Sequential Monte Carlo Techniques
: A new approach of tracking and classification of space objects with sequential Monte Carlo methods and numerical integration techniques is given.
Felix Opitz
ICCV
2009
IEEE
13 years 5 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
ICIP
2002
IEEE
14 years 9 months ago
A predictive contour inertia snake model for general video tracking
In this paper, we present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the predictiv...
Hao Jiang, Mark S. Drew