Sciweavers

138 search results - page 20 / 28
» Adaptive Object Tracking using Particle Swarm Optimization
Sort
View
IJCV
2008
188views more  IJCV 2008»
14 years 9 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
CEC
2009
IEEE
15 years 4 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
AHS
2006
IEEE
161views Hardware» more  AHS 2006»
15 years 3 months ago
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller
We present a framework for a low power self-tuning analog proportional-integral-derivative controller. By using a model-free tuning method, it overcomes problems associated with r...
Varun Aggarwal, Meng Mao, Una-May O'Reilly
CVPR
2009
IEEE
16 years 2 months ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...
CVPR
2009
IEEE
14 years 7 months ago
Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...
Junliang Xing, Haizhou Ai, Shihong Lao