Vision-based Intelligent Surveillance System: Multi-tasks Implementation

被引：0

作者：

Wahyono ^{[1
]}

Filonenko, Alexander ^{[1
]}

Shahbaz, Ajmal ^{[1
]}

Jo, Kang-Hyun ^{[1
]}

机构：

[1] Univ Ulsan, Grad Sch Elect Engn, Ulsan 680749, South Korea

来源：

2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2016年

关键词：

Multiple tasks; vision-based surveillance system; system integration;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents development of vision-based intelligent surveillance system which covers multiple tasks, such as abandoned object detection, fire and smoke detection, human detection and tracking, sterile zone monitoring, and illegally parked vehicle detection. Our goal is combining all these tasks into integrated system considering not only high accuracy, but also fast processing time.

引用

页码：296 / 296

页数：1

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