A practical several moving objects area extraction using a half-cosine function wavelet network

Authors:
Tsutomu Miki;Kazutoshi Ikeda
Affiliations:
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 4
Cited 0

Object tracking using SIFT features and mean shift

Computer Vision and Image Understanding
Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor

IEICE - Transactions on Information and Systems
Video security for ambient intelligence

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Efficient moving object segmentation algorithm using background registration technique

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...