Location Tracking and Forensic Analysis of Criminal Suspects' Footprints

被引：0

作者：

Tsai, Meng-Hsuan ^{[1
]}

Luo, Jia-Ning ^{[2
]}

Yang, Ming-Hour ^{[3
]}

Lo, Nai-Wei ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Informat Management, Taipei, Taiwan

[2] Ming Chuan Univ, Dept Informat & Telecommun Engn, Taoyuan, Taiwan

[3] Chung Yuan Christian Univ, Dept Informat & Comp Engn, Taoyuan, Taiwan

来源：

2019 IEEE 2ND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTER TECHNOLOGIES (ICICT) | 2019年

关键词：

indoor positioning; passive observation system;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Police often use location tracking technologies to monitor or track the locations of suspects. In densely populated urban areas, wireless positioning is often unable to retrieve the exact locations of suspects. This paper presents a passive location tracking system by using low-cost IoT devices to predict the footprints of suspects. When the IoT devices capture wireless signals, they can upload the observation data to a cloud server. The cloud server can quickly analyze and locate the footprints of the suspect.

引用

页码：210 / 214

页数：5

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