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IJCV
2008
188views more  IJCV 2008»
13 years 4 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ICCV
2001
IEEE
14 years 6 months ago
Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking
Video telephony could be considerably enhanced by provision of a tracking system that allows freedom of movement to the speaker, while maintaining a well-framed image, for transmi...
Jaco Vermaak, Michel Gangnet, Andrew Blake, Patric...
TSP
2008
157views more  TSP 2008»
13 years 4 months ago
Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints
In multitarget scenarios, kinematic constraints from the interaction of targets with their environment or other targets can restrict target motion. Such motion constraint informati...
Ioannis Kyriakides, Darryl Morrell, Antonia Papand...
ICPR
2006
IEEE
14 years 6 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
ICPR
2002
IEEE
14 years 6 months ago
VizWear-Active: Distributed Monte Carlo Face Tracking for Wearable Active Cameras
In this paper, we discuss a Distributed Monte Carlo (DMC) tracking method which achieves real-time and accurate face tracking for wearable active vision systems. The DMC is an ext...
Takekazu Kato, Takeshi Kurata, Katsuhiko Sakaue