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SHOT: Scenario-Type Hypothesis Object Tracking with Indoor Sensor Networks

Masakazu MURATA, Yoshiaki TANIGUCHI, Go HASEGAWA, Hirotaka NAKANO
2011 IEICE transactions on information and systems  
In the present paper, we propose an object tracking method called scenario-type hypothesis object tracking.  ...  Sensor information is accumulated in a tracking server through wireless multihop networks, and object tracking is performed at the tracking server.  ...  In the present paper, we propose an object tracking method called scenario-type hypothesis object tracking (SHOT) for a wide indoor monitoring region, e.g., all floors in a building.  ... 
doi:10.1587/transinf.e94.d.1035 fatcat:i6xrbtu5knbp5osih76ki2gjgq

Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications [article]

María J. Gómez-Silva
2020 arXiv   pre-print
The automatization of Multi-Object Tracking becomes a demanding task in real unconstrained scenarios, where the algorithms have to deal with crowds, crossing people, occlusions, disappearances and the  ...  In order to reduce these tracking errors, and even their propagation in further frames, this article presents a Deep Multi-Shot neural model for measuring the Degree of Appearance Similarity (MS-DoAS)  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPUs used for this research.  ... 
arXiv:2004.03531v1 fatcat:cm42qucp3bejvbvfgi37xvqj6i

Few-Shot Learning for Post-Earthquake Urban Damage Detection

Eftychia Koukouraki, Leonardo Vanneschi, Marco Painho
2021 Remote Sensing  
Taking into consideration the recent developments in the fields of Machine Learning and Computer Vision, this study investigates and employs several Few-Shot Learning (FSL) strategies in order to address  ...  and undersampling, and we demonstrate the appropriateness of Prototypical Networks in the damage classification context.  ...  Learn- ing with Prototypical Networks.  ... 
doi:10.3390/rs14010040 fatcat:jeombwrohzfjpiserludgp2lti

Guest Editors' Introduction to the Special Issue on Multimodal Human Pose Recovery and Behavior Analysis

Sergio Escalera, Jordi Gonzalez, Xavier Baro, Jamie Shotton
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Given these inherent difficulties, the combination of alternative, complementary visual and nonvisual modalities coming from different types of sensors has drawn a lot of attention in the literature: sensor  ...  data from visual cameras like RGB, time-of-flight (ToF), infrared, light field, multispectral, underwater, or thermal wavelengths cameras, together with another non-visual sensors like audio signals,  ...  Digital Object Identifier no. 10.1109/TPAMI.2016.2557878 1. http://gesture.chalearn.org/  ... 
doi:10.1109/tpami.2016.2557878 fatcat:ee3j7nre4fgdtjrozavgexvhi4

Diamond Sentry: Integrating Sensors and Cameras for Real-Time Monitoring of Indoor Spaces

Pavan Turaga, Yuri A. Ivanov
2011 IEEE Sensors Journal  
In this paper, we describe a system that integrates a large number of wireless motion sensors and a few strategically placed cameras and its application to real-time monitoring of indoor spaces.  ...  We use the motion sensor data to specify policies of camera control.  ...  Finally, we show how the sensor network can be exploited to deploy a camera scheduler to provide shots of people walking in the common areas of the indoor space.  ... 
doi:10.1109/jsen.2010.2050309 fatcat:xb7qfksqlngzddmb4mm4zx6yge

Distributed Sensor Network for Multi-robot Surveillance

A. Pennisi, F. Previtali, F. Ficarola, D.D. Bloisi, L. Iocchi, A. Vitaletti
2014 Procedia Computer Science  
with a laser range finder and an RFID reader), and fixed RGBD cameras.  ...  In this paper, a surveillance system based on an integration of interactive and non-interactive heterogeneous sensors is described.  ...  This work has been partially supported by the TENACE PRIN Project (n. 20103P34XC) funded by the Italian Ministry of Education, University and Research and has been possible thanks to the cooperation with  ... 
doi:10.1016/j.procs.2014.05.538 fatcat:4fq2563lkbddvcfmgxxsidn35a

EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

Christopher-Eyk Hrabia, Axel Hessler, Yuan Xu, Jacob Seibert, Jan Brehmer, Sahin Albayrak
2019 Sensors  
high-level task control, comprehensive localisation process combining several approaches to enable the transition from and to GNSS-supported and GNSS-denied environments, as well as a deep-learning based object  ...  We are especially thankful for the fruitful meetings, discussions and integration workshops with Felix Köhler, Kristine Weißbarth, Lea Schorling, and Julian Krumow.  ...  Plural names of object instances indicate that multiple objects of this type are possible. Figure 12 . 12 Behaviour network model of the milestone demonstrator scenario.  ... 
doi:10.3390/s19040973 fatcat:afkfer57wfhxflvmf74wqnrfp4

Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey [article]

Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Ngoc-Tan Nguyen, Tran Viet Khoa, Bui Minh Tuan, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas, Bjorn Ottersten
2020 arXiv   pre-print
., wireless and networking, AI can enable, encourage, and even enforce social distancing.  ...  To that end, we provide a fundamental background of social distancing including basic concepts, measurements, models and propose practical scenarios.  ...  Inertial sensors consist of two special types of sensors, namely gyroscopes and accelerometers, attached to an object to measure its rotation and acceleration.  ... 
arXiv:2005.02816v1 fatcat:3gk7vy5k5ravzceb3c2t23e74e

Real-Time Wireless Location and Tracking System with Motion Pattern Detection [chapter]

Pedro Abreu, Vasco Vinhas, Pedro Mendes, Luis Paulo, Julio Gargant
2010 Robot Localization and Map Building  
of the object to track.  ...  This fact associated with its significant tag cost relegates this technology as a third choice for indoor real-time tracking systems.  ... 
doi:10.5772/9270 fatcat:ikxze4txzzgv7dkylqu6jize6m

Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking [article]

Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka
2018 arXiv   pre-print
Data association and track-to-track association, two fundamental problems in single-sensor and multi-sensor multi-target tracking, are instances of an NP-hard combinatorial optimization problem known as  ...  We highlight representation learning methods for multi-sensor applications and conclude by providing an overview of current multi-target tracking benchmarks.  ...  In many multi-sensor multi-target tracking scenarios, there is a network of sensors that are streaming high-dimensional data to a central processing unit for high-level fusion.  ... 
arXiv:1802.06897v1 fatcat:fsh7cyr2izdcnc23iqnpztowyy

Market-Based Framework for Mobile Surveillance Systems [chapter]

Ahmed M. Elmogy, Alaa M. Khamis, Fakhri Karray
2012 Lecture Notes in Computer Science  
Mobile sensors have emerged as a solution to overcome the limitations of the static sensors. Mobile sensors are capable of sensing, processing, moving and communicating with other nodes.  ...  Modern surveillance systems encompass spatially distributed mobile and static sensors in order to provide effective monitoring of persistent and transient objects and events in a given Area Of Interest  ...  For each type of allocation Indoor Scenario This subsection describes a surveillance simulations and results for an indoor scenario.  ... 
doi:10.1007/978-3-642-31368-4_9 fatcat:57nrvobnfjhinkrlqixccf2ymy

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
, Jürgen Workshop: A Graphical Model for Unifying Tracking and Classification within a Multimodal Human-Robot Interaction Scenario Gat, Yoram Workshop: Fusing Image Data with Location and Orientation Sensor  ...  Optimizing One-Shot Recognition with Micro-Set Learning Tang, Lisa Workshop: Graph-based Tracking of Tongue Contour in Ultrasound Sequences with Adaptive Temporal Regularization Tang, Xiaoou Object  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Person Following by Autonomous Robots: A Categorical Overview [article]

Md Jahidul Islam, Jungseok Hong, Junaed Sattar
2019 arXiv   pre-print
Different working environments and applications pose diverse challenges by adding constraints on the choice of sensors, the degree of autonomy, and dynamics of a person-following robot.  ...  Also, the corresponding operational challenges are identified based on various design choices for ground, underwater, and aerial scenarios.  ...  The authors are with the Interactive Robotics and Vision Laboratory (IRVLab), University of Minnesota, Twin Cities, MN, USA.  ... 
arXiv:1803.08202v4 fatcat:wrqjbueulramzknpae3kt45kte

Change Detection Algorithms for Surveillance in Visual IoT: A Comparative Study

Beenish Ayesha Akram
2018 Mehran University Research Journal of Engineering and Technology  
The VIoT (Visual Internet of Things) connects virtual information world with real world objects using sensors and pervasive computing.  ...  Otsu algorithm showed better results for indoor environments with slow to medium changes and nomadic object mobility. k-means showed good results in indoor environment with small object size producing  ...  ChD is performed as in-network processing on low-form factor VIoT devices. For video surveillance, object classification and tracking is done as Back-office processing on servers.  ... 
doi:10.22581/muet1982.1801.07 fatcat:idacskug4vgo5dr7srscet3qh4

Scheduling an active camera to observe people

Cash J. Costello, Christopher P. Diehl, Amit Banerjee, Hesky Fisher
2004 Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks - VSSN '04  
The evaluation was conducted with a simulation based on data collected with our cooperative active camera system.  ...  The tracking camera detects moving objects using a multi-modal background subtraction method based on [13] . A multi-hypothesis blob tracker tracks the moving objects through the scene.  ...  CMTO did not perform well on these tracks in comparison with the Figure 4 , results are presented for scenarios that contain very simple predictable tracks.  ... 
doi:10.1145/1026799.1026808 fatcat:d34bgupthfblfawxvxciintt3a
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