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AVSS
2009
IEEE
13 years 9 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
15 years 28 days ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
13 years 10 months ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...
APCCAS
2006
IEEE
323views Hardware» more  APCCAS 2006»
13 years 11 months ago
Real-Time Implementation of a Particle Filter with Integrated Voice Activity Detector for Acoustic Speaker Tracking
— In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficult...
Anders M. Johansson, Eric A. Lehmann, Sven Nordhol...
ICIP
2005
IEEE
14 years 7 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...