找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Analysis of Images and Patterns; 12th International C Walter G. Kropatsch,Martin Kampel,Allan Hanbury Conference proceedings 2007

[复制链接]
楼主: supplementary
发表于 2025-3-27 00:53:19 | 显示全部楼层
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniquesased on the tracking of line features which are generated dynamically in every frame by rendering a polygonal model and extracting contours out of the rendered scene. Different methods of the line model generation are investigated. Depending on the scenario and the given 3D model either the image gr
发表于 2025-3-27 02:41:37 | 显示全部楼层
Mixture Models Based Background Subtraction for Video Surveillance Applicationsions of interest can be found. To cope with highly dynamic and complex environments, a mixture of several models has been proposed in the literature. This paper proposes a novel background subtraction technique based on the popular Mixture of Gaussian Models technique. Moreover edge-based image segm
发表于 2025-3-27 05:33:23 | 显示全部楼层
发表于 2025-3-27 10:09:47 | 显示全部楼层
发表于 2025-3-27 16:02:16 | 显示全部楼层
发表于 2025-3-27 18:00:17 | 显示全部楼层
发表于 2025-3-28 00:51:14 | 显示全部楼层
Speeding-Up Differential Motion Detection Algorithms Using a Change-Driven Data Flow Processing Strag is usually the classical approach for these algorithms: spatial and temporal derivatives are calculated for all pixels in the image despite the fact that the majority of image pixels may not have changed from one frame to the next. By contrast, the data flow model works in a totally different way
发表于 2025-3-28 02:35:02 | 显示全部楼层
发表于 2025-3-28 07:38:02 | 显示全部楼层
发表于 2025-3-28 12:27:39 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-25 15:44
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表