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» A Boundary-Fragment-Model for Object Detection
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ICPR
2006
IEEE
16 years 7 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
ICPR
2004
IEEE
16 years 7 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
FGIT
2009
Springer
16 years 1 months ago
Object Surface Reconstruction from One Camera System
In this paper, there is introduced an approach to surface reconstruction of an object captured by one grayscale camera with a small resolution. The proposed solution expects a rec...
Radim Dvorak, Martin Drahanský, Filip Ors&a...
SIBGRAPI
2006
IEEE
16 years 21 days ago
Actively Illuminated Objects using Graph-Cuts
This paper addresses the problem of foreground extraction using active illumination and graph-cut optimization. Our approach starts by detecting image regions that are likely to b...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
16 years 1 days ago
Automatic Video Object Tracking Using a Mosaic-Based Background
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
Young-Kee Jung, Kyu-Won Lee, Dong-Min Woo, Yo-Sung...