Based on Bagging Method Moving Object Detection Design

被引：0

作者：

Zhou, Hong-cheng ^{[1
]}

Chen, Cun-bao ^{[1
]}

机构：

[1] JinLing Inst Technol, Inst Informat, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE | 2014年

关键词：

moving object; features; shadow; Bagging; detection;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Focusing on the disturbance of moving cast shadow, a Bagging moving cast shadow removal method is proposed. Collecting shadow discrimination features from multiple shadow discrimination models, a shadow detector is trained by employing Bagging ensemble based learning framework. The shadow detector can automatically select effective shadow discrimination features and be updated online adaptively. Experimental results demonstrate the effectiveness of the proposed method.

引用

页码：36 / 39

页数：4

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