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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...
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 15 days ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
BPM
2008
Springer
217views Business» more  BPM 2008»
13 years 9 months ago
Detecting Regulatory Compliance for Business Process Models through Semantic Annotations
A given business process may face a large number of regulatory obligations the process may or comply with. Providing tools and techniques through which an evaluation of the complia...
Guido Governatori, Jörg Hoffmann, Shazia Wasi...
BMCBI
2011
13 years 2 months ago
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bull...
ICPR
2006
IEEE
14 years 8 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...