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TIP
2010
119views more  TIP 2010»
15 years 27 days ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
INFOCOM
2012
IEEE
13 years 8 months ago
Reverse-engineering BitTorrent: A Markov approximation perspective
Abstract—BitTorrent has been the most popular P2P (Peer-toPeer) paradigm during recent years. Built upon great intuition, the piece-selection and neighbor-selection modules roote...
Ziyu Shao, Hao Zhang, Minghua Chen, Kannan Ramchan...
CVPR
2005
IEEE
16 years 8 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
ICIP
2005
IEEE
16 years 7 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
QEST
2009
IEEE
16 years 28 days ago
Simulation-Based CTMC Model Checking: An Empirical Evaluation
This paper provides an experimental study of the efficiency of simulation-based model-checking algorithms for continuous-time Markov chains by comparing: MRMC – the only tool t...
Joost-Pieter Katoen, Ivan S. Zapreev