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» Robust Online Appearance Models for Visual Tracking
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ACCV
2006
Springer
14 years 2 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter
ICIP
2009
IEEE
13 years 6 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
CVPR
2009
IEEE
14 years 6 months ago
Visual loop closing using multi-resolution SIFT grids in metric-topological SLAM
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...
Vivek Pradeep, Gérard G. Medioni, James Wei...
CVPR
2012
IEEE
11 years 11 months ago
3D Constrained Local Model for rigid and non-rigid facial tracking
We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common frame...
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe...
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 2 months ago
A Robust Method for TV Logo Tracking in Video Streams
Most broadcast stations rely on TV logos to claim video content ownership or visually distinguish the broadcast from the interrupting commercial block. Detecting and tracking a TV...
Jinqiao Wang, Lingyu Duan, Zhenglong Li, Jing Liu,...