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ICPR
2006
IEEE
16 years 1 days ago
Hidden Markov Models for Optical Flow Analysis in Crowds
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...
79
Voted
ESANN
2006
15 years 10 days ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ICML
2010
IEEE
15 years 4 hour ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
106
Voted
MM
2004
ACM
117views Multimedia» more  MM 2004»
15 years 4 months ago
Optimized mesh and texture multiplexing for progressive textured model transmission
An optimized scheme of multiplexing coded mesh and texture data to facilitate progressive transmission of 3D textured models is proposed in this work. The mesh and texture data of...
Sheng Yang, Chao-Hua Lee, C. C. Jay Kuo
99
Voted
SMI
2006
IEEE
183views Image Analysis» more  SMI 2006»
15 years 5 months ago
The Generalized Shape Distributions for Shape Matching and Analysis
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
Yi Liu, Hongbin Zha, Hong Qin