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ICML
2010
IEEE
15 years 25 days ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
ECCV
2004
Springer
16 years 1 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
CLEAR
2006
Springer
230views Biometrics» more  CLEAR 2006»
15 years 3 months ago
An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR'06 Evaluation Dataset
We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter f...
Kai Nickel, Tobias Gehrig, Hazim Kemal Ekenel, Joh...
CVPR
2005
IEEE
16 years 1 months ago
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICIAP
2009
ACM
16 years 11 days ago
Pathnodes Integration of Standalone Particle Filters for People Tracking on Distributed Surveillance Systems
In this paper, we present a new approach to object tracking based on batteries of particle filter working in multicamera systems with non overlapped fields of view. In each view th...
Roberto Vezzani, Davide Baltieri, Rita Cucchiara