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» Detecting and Tracking Moving Objects for Video Surveillance
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TIP
2010
170views more  TIP 2010»
14 years 8 months ago
A Distributed Topological Camera Network Representation for Tracking Applications
Abstract--Sensor networks have been widely used for surveillance, monitoring, and tracking. Camera networks, in particular, provide a large amount of information that has tradition...
Edgar J. Lobaton, Ramanarayan Vasudevan, Ruzena Ba...
CVPR
2008
IEEE
16 years 3 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
CVPR
2009
IEEE
15 years 8 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
ICMCS
2006
IEEE
137views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Relative Depth Layer Extraction for Monoscopic Video by Use of Multidimensional Filter
This paper presents a relative depth layer extraction system for monoscopic video, using multi-line filters and a layer selection algorithm. Main ideas are to extract multiple li...
Jing-Ying Chang, Chao-Chung Cheng, Shao-Yi Chien, ...
AUIC
2002
IEEE
15 years 6 months ago
Tangible User Interaction Using Augmented Reality
This paper describes a novel use of augmented reality for the visualisation of virtual objects as part of the move towards pervasive computing. It uses fiducial markers as switche...
Bruce H. Thomas, Hannah Slay, Rudi Vernik