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ICANN
2009
Springer
11 years 10 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classiļ¬cation of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
TITS
2008
250views more  TITS 2008»
11 years 5 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
MM
2005
ACM
140views Multimedia» more  MM 2005»
11 years 11 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
ICIP
2004
IEEE
12 years 7 months ago
A hidden markov model framework for traffic event detection using video features
We present a novel approach for highway traffic event detection. Our algorithm extracts features directly from the compressed video and automatically detects traffic events using ...
Xiaokun Li, Fatih Murat Porikli
CVPR
2000
IEEE
12 years 7 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
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