Online Multi-Person Tracking for Intelligent Video Surveillance Systems

被引：0

作者：

Ju, Jaeyong ^{[1
]}

Ku, Bonhwa ^{[1
]}

Kim, Daehun ^{[1
]}

Song, Taeyup ^{[1
]}

Han, David K. ^{[2
]}

Ko, Hanseok ^{[1
]}

机构：

[1] Korea Univ, Sch Elect Engn, Seoul, South Korea

[2] Off Naval Res, Arlington, VA 22217 USA

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2015年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel online multi-person tracking method based on tracking-by-detection framework for intelligent video surveillance systems consisting of an internet protocol (IP) camera and a network video recorder (NVR). First, the two-step data association based on high/low confidence targets is proposed for handling long-term occlusions effectively. Additionally, the method that reasons and handles severe inter-target occlusion is proposed. Representative experimental results demonstrate the effectiveness and robustness of the proposed method.

引用

页码：345 / 346

页数：2

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