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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2008
IEEE
14 years 11 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah
ICPR
2006
IEEE
14 years 10 months ago
Superimposing 3D Virtual Objects using Markerless Tracking
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods ar...
Sang-Cheol Park, Sang-Woong Lee, Seong-Whan Lee
ICVS
2001
Springer
14 years 1 months ago
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room
Abstract. In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tra...
Deepak R. Karuppiah, Zhigang Zhu, Prashant J. Shen...
ICCV
2007
IEEE
14 years 11 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
AMDO
2008
Springer
13 years 11 months ago
Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...
Chi-Wei Chu, Ramakant Nevatia