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» Adaptive Background Estimation for Object Tracking
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3DIM
2007
IEEE
15 years 3 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...
CVPR
2008
IEEE
15 years 11 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
85
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IVC
2007
89views more  IVC 2007»
14 years 9 months ago
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...
AIRS
2005
Springer
15 years 3 months ago
A Query-by-Singing Technique for Retrieving Polyphonic Objects of Popular Music
This paper investigates the problem of retrieving popular music by singing. In contrast to the retrieval of MIDI music, which is easy to acquire the main melody by the selection of...
Hung-Ming Yu, Wei-Ho Tsai, Hsin-Min Wang
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
13 years 9 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers