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» Online Selection of Tracking Features using AdaBoost
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WACV
2008
IEEE
15 years 10 months ago
Tracking Down Under: Following the Satin Bowerbird
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
MVA
2000
150views Computer Vision» more  MVA 2000»
15 years 5 months ago
Real-Time Camera Parameter Estimation from Images for a Wearable Vision System
In this paper, we propose a method of estimating camera parameters for annotating 3D virtual objects with a wearable vision system. The proposed method tracks natural feature poin...
Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue
BMVC
2010
15 years 2 months ago
Reducing mismatching under time-pressure by reasoning about visibility and occlusion
Three methods are explored which help indicate whether feature points are potentially visible or occluded in the matching phase of the keyframe-based real-time visual SLAM system....
Somkiat Wangsiripitak, David W. Murray
ICCV
2011
IEEE
14 years 4 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...
CORR
2010
Springer
286views Education» more  CORR 2010»
15 years 23 days ago
PhishDef: URL Names Say It All
Phishing is an increasingly sophisticated method to steal personal user information using sites that pretend to be legitimate. In this paper, we take the following steps to identif...
Anh Le, Athina Markopoulou, Michalis Faloutsos