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» A Framework for Representing Moving Objects
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CLOR
2006
15 years 7 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
CVPR
2005
IEEE
16 years 6 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke
ALGOSENSORS
2009
Springer
15 years 10 months ago
Compressing Kinetic Data from Sensor Networks
We introduce a framework for storing and processing kinetic data observed by sensor networks. These sensor networks generate vast quantities of data, which motivates a significant...
Sorelle A. Friedler, David M. Mount
174
Voted
ECCV
2004
Springer
16 years 5 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
132
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Joint tracking and video registration by factorial Hidden Markov models
Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
Xue Mei, Fatih Murat Porikli