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ICCV
2011
IEEE
12 years 9 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
CVPR
2011
IEEE
13 years 4 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 7 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn

Publication
264views
13 years 5 months ago
Combined feature evaluation for adaptive visual object tracking
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...
Zhenjun Han, Qixiang Ye, Jianbin Jiao
ECCV
2010
Springer
14 years 1 months ago
Efficient Non-Consecutive Feature Tracking for Structure-from-Motion
Abstract. Structure-from-motion (SfM) is an important computer vision problem and largely relies on the quality of feature tracking. In image sequences, if disjointed tracks caused...