scholarly journals Demo: Automated Tracking System For LiDAR Spoofing Attacks On Moving Targets

2021 ◽  
Author(s):  
Yulong Cao ◽  
Jiaxiang Ma ◽  
Kevin Fu ◽  
Sara Rampazzi ◽  
Morley Mao
Keyword(s):  
Tracking System ◽  
Moving Targets ◽  
Automated Tracking

Development of Automated Tracking System with Active Cameras for Figure Skating

2011 ◽  
Vol 131 (4) ◽  
pp. 565-571
Author(s):  
Tomohiko Haraguchi ◽  
Tsuyoshi Taki ◽  
Junichi Hasegawa
Keyword(s):  
Tracking System ◽  
Figure Skating ◽  
Automated Tracking

DEVELOPMENT OF AN AUTOMATED TRACKING SYSTEM OF TAGGED WILD ANIMALS

2013 ◽  
Author(s):  
Mariya Ishutkina ◽  
Timothy Chan ◽  
Eric Feron
Keyword(s):  
Tracking System ◽  
Wild Animals ◽  
Automated Tracking

A WIRELESS NETWORK SYSTEM FOR AUTOMATED TRACKING OF CONSTRUCTION MATERIALS ON PROJECT SITES

2008 ◽  
Vol 14 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Won-Suk Jang ◽  
Mirosław J. Skibniewski
Keyword(s):  
Tracking System ◽  
Construction Material ◽  
Construction Materials ◽  
Cost Benefit ◽  
Signal Strength ◽  
Industrial Applications ◽  
Network System ◽  
Automated Tracking ◽  
Hybrid Techniques ◽  
Strength Based

This paper presents a new prototype framework of automated tracking and monitoring system for construction materials. Previous technologies such as RFID and GPS deployed in construction material tracking have been reviewed and signal strength‐based localisation has been examined. As an emerging network standard for industrial applications, brief specifications of ZigBee™ protocol have been described. We introduce a ZigBee‐based tracking system architecture using hybrid techniques of RF and ultrasound to improve positioning accuracy and cost benefit. Finally, feasibility analysis and application scenario have been examined to present the possible deployment framework in construction area. Santrauka Straipsnyje aprašomas naujas automatizuotos statybinių medžiagų stebėsenos sistemos modelis. Apžvelgiamos tokios technologijos, kaip RFID ir GPS, anksčiau naudotos stebint statybines medžiagas, ir nagrinėjamas signalo stiprumu pagrįstas lokalizavimas. Aprašoma tinklo standarto ZigBee™ protokolo, naudojamo pramonėje, specifikacija. Pateikiama ZigBee tipo stebėjimo sistema, naudojanti RF ir ultragarso technologiją, skirtą pozicionavimo tikslumui gerinti ir jo kainai mažinti. Be to, pateikiama sistemos galimybių analizė ir taikymo sistema, nagrinėjanti galimą šios sistemos naudojimą statyboje.

Study of Moving Targets Tracking Methods for a Multi-beam Tracking System in Terahertz Band

2020 ◽  
pp. 1-1
Author(s):  
Hongwei Li ◽  
Chao Li ◽  
Hang Gao ◽  
Shiyou Wu ◽  
Guangyou Fang
Keyword(s):  
Tracking System ◽  
Moving Targets ◽  
Terahertz Band ◽  
Beam Tracking

Assessment of regional myocardial strain by a novel automated tracking system from digital image files

2004 ◽  
Vol 17 (12) ◽  
pp. 1234-1238 ◽  
Author(s):  
Tomohiko Toyoda ◽  
Hirotaka Baba ◽  
Takashi Akasaka ◽  
Maki Akiyama ◽  
Yoji Neishi ◽  
...  
Keyword(s):  
Digital Image ◽  
Tracking System ◽  
Myocardial Strain ◽  
Automated Tracking

An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT

2020 ◽  
Vol 34 (11) ◽  
pp. 2059037
Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Raspberry Pi ◽  
Automation System ◽  
Moving Targets ◽  
Embedded Platform ◽  
System A ◽  
Detection And Tracking ◽  
Camshift Algorithm ◽  
Dynamic Target

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.

Armor: ICI's Automated Tracking System for Adverse Events from Clinical Trials

1992 ◽  
Vol 26 (4) ◽  
pp. 537-543
Author(s):  
Elizabeth J. Klinger ◽  
Joel A. Riloff ◽  
Raymond L. Herman ◽  
Gustavo Acosta
Keyword(s):  
Clinical Trials ◽  
Adverse Events ◽  
Tracking System ◽  
Automated Tracking
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