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» Video Objects Segmentation by Robust Background Modeling
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CVPR
2009
IEEE
15 years 3 months ago
Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
ICPR
2002
IEEE
14 years 9 months ago
Tracking People
This paper describes a real-time computer vision system for tracking people in monocular video sequences. The system tracks people as they move through the camera's field of ...
Ng Kim Piau, Surendra Ranganath
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
13 years 11 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
CVPR
2007
IEEE
14 years 10 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
CVPR
2011
IEEE
13 years 4 months ago
Adequate Reconstruction of Transparent Objects on a Shoestring Budget
Reconstructing transparent objects is a challenging problem. While producing reasonable results for quite complex objects, existing approaches require custom calibration or somewh...
Sai-Kit Yeung, Tai-Pang Wu, Chi-keung Tang, Tony F...