Real time, online detection of abandoned objects in public areas

被引：58

作者：

Bird, Nathaniel ^{[1
]}

Atev, Stefan ^{[1
]}

Caramelli, Nicolas ^{[1
]}

Martin, Robert ^{[1
]}

Masoud, Osama ^{[1
]}

Papanikolopoulos, Nikolaos ^{[1
]}

机构：

[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10 | 2006年

基金：

美国国家科学基金会;

关键词：

automated surveillance; human activities recognition;

D O I：

10.1109/ROBOT.2006.1642279

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents a method for detecting abandoned objects in real-world conditions. The method presented here addresses the online and real time aspects of such systems, utilizes logic to differentiate between abandoned objects and stationary people, and is robust to temporary occlusion,of potential abandoned objects. The capacity to not detect still people as abandoned objects is a major aspect that differentiates this work from others in the literature. Results are presented on 3 hours 36 minutes of footage over four videos representing both sparsely and densely populated real-world situations, also differentiating this work from others in the literature.

引用

页码：3775 / +

页数：2

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