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» Object Tracking by Adaptive Modeling
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ICPR
2008
IEEE
14 years 5 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+
ICIP
2006
IEEE
14 years 11 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...
ECOOPW
2001
Springer
14 years 2 months ago
Adaptive Object-Models and Metamodeling Techniques
Many object-oriented information systems share an architectural style that emphasizes flexibility and dynamically configurable. Business rules are stored in a database instead of ...
Nicolas Revault, Joseph W. Yoder
IWNAS
2006
IEEE
14 years 4 months ago
Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network
This paper compares extended Kalman filters with the P, PV and PVA dynamics models for object tracking in wireless network. Experiments shows that PVA achieves the best and P per...
Yifeng Zhu, Ali Shareef
ECCV
2008
Springer
14 years 12 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...