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» Sequential particle swarm optimization for visual tracking
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ICPR
2006
IEEE
16 years 24 days 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
CEC
2010
IEEE
14 years 12 months ago
Towards scalability in niching methods
— The scaling properties of multimodal optimization methods have seldom been studied, and existing studies often concentrated on the idea that all local optima of a multimodal fu...
Marcel Kronfeld, Andreas Zell
NIPS
2003
15 years 1 months ago
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
Ryan Kelly, Tai Sing Lee
PR
2010
144views more  PR 2010»
14 years 10 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 6 months ago
Automatic Relocalisation for a Single-Camera Simultaneous Localisation and Mapping System
Abstract— We describe a fast method to relocalise a monocular visual SLAM (Simultaneous Localisation and Mapping) system after tracking failure. The monocular SLAM system stores ...
Brian Williams, Paul Smith, Ian D. Reid