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» Learning to Track Multiple People in Omnidirectional Video
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ICIP
2007
IEEE
14 years 9 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
ICPR
2002
IEEE
14 years 9 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...
CVPR
2005
IEEE
14 years 10 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani
WACV
2005
IEEE
14 years 1 months ago
Learning the Behavior of Users in a Public Space through Video Tracking
The paper describes a video tracking system that tracks and analyzes the behavioral pattern of users in a public space. We have obtained important statistical measurements about u...
Wei Yan, David A. Forsyth
RAS
2010
167views more  RAS 2010»
13 years 6 months ago
Data association and occlusion handling for vision-based people tracking by mobile robots
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
Grzegorz Cielniak, Tom Duckett, Achim J. Lilientha...