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CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
15 years 3 months ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...
ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Object Tracking Using Multiple Features
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
David Serby, Esther Koller-Meier, Luc J. Van Gool
DAGM
2001
Springer
14 years 8 days ago
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization, and Tracking Using Stereo
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
Georg von Wichert
IPSN
2005
Springer
14 years 1 months ago
Tracking on a graph
Abstract— This paper considers the problem of tracking objects with sparsely located binary sensors. Tracking with a sensor network is a challenging task due to the inaccuracy of...
Songhwai Oh, Shankar Sastry
IVC
2006
193views more  IVC 2006»
13 years 7 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal