Мобильная версия

Доступно журналов:

3 288

Доступно статей:

3 891 637

 

Скрыть метаданые

Автор X H Fang
Автор W Xiong
Автор B J Hu
Автор L T Wang
Дата выпуска 2006-10-01
dc.description This paper designed a new algorithm of moving object detection for the aim of quick moving object detection and orientation, which used a pixel and its neighbors as an image vector to represent that pixel and modeled different chrominance component pixel as a mixture of Gaussians, and set up different mixture model of Gauss for different YUV chrominance components. In order to make full use of the spatial information, color segmentation and background model were combined. Simulation results show that the algorithm can detect intact moving objects even when the foreground has low contrast with background.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт © 2006 IOP Publishing Ltd
Название A Moving Object Detection Algorithm Based on Color Information
Тип paper
DOI 10.1088/1742-6596/48/1/072
Electronic ISSN 1742-6596
Print ISSN 1742-6588
Журнал Journal of Physics: Conference Series
Том 48
Первая страница 384
Последняя страница 387
Выпуск 1

Скрыть метаданые