People Tracking in Camera Networks: Three Open Questions

被引：4

作者：

Thakoor, Ninad S. ^{[1
]}

An, Le ^{[2
]}

Bhanu, Bir ^{[1
,3
]}

Sunderrajan, Santhoshkumar ^{[4
]}

Manjunath, B. S. ^{[4
]}

机构：

[1] Univ Calif Riverside, Ctr Res Intelligent Syst, Riverside, CA 92521 USA

[2] Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA

[3] Univ Calif Riverside, Elect & Comp Engn, Riverside, CA 92521 USA

[4] Univ Calif Santa Barbara, Elect & Comp Engn, Santa Barbara, CA 93106 USA

来源：

COMPUTER | 2015年 / 48卷 / 03期

基金：

美国国家科学基金会;

关键词：

Security systems;

D O I：

10.1109/MC.2015.83

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Camera networks provide opportunities for practical video surveillance and monitoring, but tracking people across the network presents many computational and modeling hurdles that researchers have yet to surmount.

引用

页码：78 / 86

页数：9