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» Improving multi-target tracking via social grouping
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CVPR
2012
IEEE
11 years 10 months ago
Improving multi-target tracking via social grouping
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Zhen Qin, Christian R. Shelton
CVPR
2012
IEEE
11 years 10 months ago
Urban tribes: Analyzing group photos from a social perspective
The explosive growth in image sharing via social networks has produced exciting opportunities for the computer vision community in areas including face, text, product and scene re...
Ana C. Murillo, Iljung S. Kwak, Lubomir Bourdev, D...
AVSS
2007
IEEE
14 years 2 months ago
Using social effects to guide tracking in complex scenes
This paper presents a new methodology for improving the tracking of multiple targets in complex scenes. The new method, Motion Parameter Sharing, incorporates social motion inform...
Andrew French, Asad Naeem, Ian L. Dryden, Tony P. ...
JUCS
2011
107views more  JUCS 2011»
12 years 10 months ago
Realising the Potential of Web 2.0 for Collaborative Learning Using Affordances
: With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is cl...
Andreas U. Kuswara, Debbie Richards
DGO
2008
173views Education» more  DGO 2008»
13 years 8 months ago
The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...