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CVPR
2008
IEEE
14 years 11 months ago
Joint tracking of features and edges
Sparse features have traditionally been tracked from frame to frame independently of one another. We propose a framework in which features are tracked jointly. Combining ideas fro...
Stanley T. Birchfield, Shrinivas J. Pundlik
ICPR
2008
IEEE
14 years 10 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
ICPR
2000
IEEE
14 years 10 months ago
Comparison of Tracking Techniques Applied to Digital PIV
Digital Particle Image Velocimetry (DPIV) aims at flow visualisation and measurement of flow dynamics in numerous applications, including hydrodynamics, combustion processes and a...
Dmitry Chetverikov, Judit Verestóy, Marcell...
ACCV
2006
Springer
14 years 3 months ago
Performance Evaluation of Object Detection and Tracking in Video
The need for empirical evaluation metrics and algorithms is well acknowledged in the field of computer vision. The process leads to precise insights to understanding current techn...
Vasant Manohar, Padmanabhan Soundararajan, Harish ...
BMVC
2010
13 years 7 months ago
Incremental Model Selection for Detection and Tracking of Planar Surfaces
Man-made environments are abundant with planar surfaces which have attractive properties and are a prerequisite for a variety of vision tasks. This paper presents an incremental m...
Johann Prankl, Michael Zillich, Bastian Leibe, Mar...