NOVEL APPROACH FOR MOVING HUMAN DETECTION AND TRACKING IN STATIC CAMERA VIDEO SEQUENCES

被引：0

作者：

Barbu, Tudor ^{[1
]}

机构：

[1] Romanian Acad, Inst Comp Sci, Bucharest, Romania

来源：

PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE | 2012年 / 13卷 / 03期

关键词：

video object detection; video tracking; moving person; temporal differencing; morphological operations; skin recognition; normalized correlation; human matching; IMAGE;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

An automatic multiple person detection and tracking technique for static camera movies is proposed in this paper. First, a moving human identification method is provided. It detects the video objects by using a novel temporal differencing based algorithm and some morphological processes. Then, our approach decides which moving objects represent walking persons, by computing some human size parameters and extracting some skin segments. A novel human tracking technique using a correlation-based video object matching process is then proposed in this paper.

引用

页码：269 / 277

页数：9

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