| 圆锥裁剪BLOB的视频目标检测方法 |
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| 引用本文： | 熊运余,胡术,周鹏,吕学斌,余静. 圆锥裁剪BLOB的视频目标检测方法[J]. 计算机辅助设计与图形学学报, 2009, 21(9) |
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| 作者姓名： | 熊运余 胡术 周鹏 吕学斌 余静 |
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| 作者单位： | 四川大学计算机学院图形图像研究所,成都,610064;四川大学计算机学院图形图像研究所,成都,610064;四川大学计算机学院图形图像研究所,成都,610064;四川大学计算机学院图形图像研究所,成都,610064;四川大学计算机学院图形图像研究所,成都,610064 |
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| 基金项目： | 国家"八六三"高技术研究发展计划 |
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| 摘 要： | 真实场景的视频目标检测需要消除阴影、反射和鬼影等噪声的影响,以检测出运动目标和静止目标.为了实现系统性的视频目标检测,提出一种自适应圆锥裁剪联通块(TC-BLOB)榆测方法.基于BLOB知识,将3D颜色空间变换为"夹角-模差"2D空间后,定义一套圆锥裁剪规则划分出阴影BLOB和反射BLOB;再以一种持久化记忆PM方法判别出鬼影BLOB;最后改进双背景模型检测出静止目标和运动目标.采用不同环境视频进行实验的结果表明,文中方法足有效的,并有独立于后续跟踪的优点.
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| 关 键 词： | TC-BLOB目标检测 持久化记忆 鬼影检测 静止目标检测 |
A Segmentation Method of Objects Based on Truncated Cone BLOB |
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| Xiong Yunyu,Hu Shu,Zhou Peng,Lu Xubin,Yu Jing. A Segmentation Method of Objects Based on Truncated Cone BLOB[J]. Journal of Computer-Aided Design & Computer Graphics, 2009, 21(9) |
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| Authors: | Xiong Yunyu Hu Shu Zhou Peng Lu Xubin Yu Jing |
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| Affiliation: | Institute of Image and Graphics;College of Computer Sichuan University;Chengdu 610064 |
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| Abstract: | Segmentation of objects in real-world scenes needs to detect and eliminate noise such as shadow,reflection and ghost. The detection of static visual object is also crucial for robust segmentation and dynamic background updating. To realize systemic object segmentation for real-world scenes,the paper proposed a new adaptive method based on truncated cone BLOB. Firstly,based on BLOB knowledge,the method transferred 3D color space to 2D angle-mode color space and defined a set of rules of truncated cone to det... |
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| Keywords: | object detection based on truncated cone BLOB permanence memory ghost detection static visual object detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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