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» Data mining for activity extraction in video data
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ICIP
2005
IEEE
14 years 9 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICIP
2005
IEEE
14 years 9 months ago
Pedestrian classification from moving platforms using cyclic motion pattern
This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bound...
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry S. Davi...
JCDL
2009
ACM
134views Education» more  JCDL 2009»
14 years 2 months ago
What happens when facebook is gone?
Web users are spending more of their time and creative energies within online social networking systems. While many of these networks allow users to export their personal data or ...
Frank McCown, Michael L. Nelson
SEMWEB
2009
Springer
14 years 7 days ago
Supporting Multi-view User Ontology to Understand Company Value Chains
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The a...
Landong Zuo, Manuel Salvadores, S. M. Hazzaz Imtia...
CSCW
2002
ACM
13 years 7 months ago
Work rhythms: analyzing visualizations of awareness histories of distributed groups
We examined records of minute-by-minute computer activity coupled with information about the location of the activity, online calendar appointments, and e-mail activity. We presen...
James Begole, John C. Tang, Randall B. Smith, Nico...