A Multi-Camera Tracker for Monitoring Pedestrians in Enclosed Environments

被引：0

作者：

Wu, Xusheng ^{[1
]}

Winter, Stephan ^{[2
]}

Khoshelham, Kourosh ^{[2
]}

机构：

[1] Univ Melbourne, Comp & Informat Syst, Parkville, Vic 3010, Australia

[2] Univ Melbourne, Infrastruct Engn, Parkville, Vic 3010, Australia

来源：

2020 IEEE 32ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI) | 2020年

关键词：

Computer vision; Multi-camera tracking; Shopping; Market; Customer behaviour;

D O I：

10.1109/ICTAI50040.2020.00134

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multi-camera pedestrians tracking is a challenging computer vision task. We propose a multi-camera tracker for monitoring pedestrians in an enclosed shopping environment. We assess the performance of the multi-camera tracker in a case study, tracking customers in a food and speciality market hall. Our multi-camera tracker tracks customers' walking between the stalls in the market. The information is useful for market management, visitor safety, and other potential application areas.

引用

页码：852 / 858

页数：7

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