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5G-Enabled Security Scenarios for Unmanned Aircraft: Experimentation in Urban Environment
<span title="2020-06-12">2020</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ycpqunwwuja6beynxtnfswzqgy" style="color: black;">Drones</a>
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In the city of Matera,Italy (European capital of culture 2019), two applications of 5G for public security have been testedby using an aerial drone: the recognition of objects and people in a crowded city ...
Table 1 . 1 Face recognition accuracy (in %) between probe images and high-resolution images of DroneSURF. ...
One of the first works that investigated the issues and the challenges of performing face recognition with drone-captured images was [5] . ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/drones4020022">doi:10.3390/drones4020022</a>
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The State of Aerial Surveillance: A Survey
[article]
<span title="2022-01-13">2022</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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<span title="2022-01-09">2022</span>
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It aims to provide readers with an in-depth systematic review and technical analysis of the current state of aerial surveillance tasks using drones, UAVs and other airborne platforms. ...
This paper provides a comprehensive overview of human-centric aerial surveillance tasks from a computer vision and pattern recognition perspective. ...
Approaches for aerial face recognition Surprisingly the number of published work on aerial face recognition is scarce. ...
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Hand Gesture Controlled Drones: An Open Source Library
[article]
<span title="2018-03-27">2018</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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A few significant issues with these approaches are that drone control is limited by the range of electromagnetic radiation and susceptible to interference noise. ...
drone movement, such as takeoff, landing, hovering and so forth. ...
This problem also involves the camera resolution of the drone and can be partially elevated with high resolution images or better cameras. ...
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A Multiviewpoint Outdoor Dataset for Human Action Recognition
<span title="">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b32fg3eaw5htxo27fbdgmysupe" style="color: black;">IEEE Transactions on Human-Machine Systems</a>
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To fill this gap and enable research in wider application areas, we present a multi-viewpoint outdoor action recognition dataset collected from YouTube and our own drone. ...
Advancements in deep neural networks have contributed to near perfect results for many computer vision problems such as object recognition, face recognition and pose estimation. ...
We thank Anoop Cherian for his help with our kernelized rank pooling implementation. ...
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RF-UAVNet: High-Performance Convolutional Network for RF-based Drone Surveillance Systems
<span title="">2022</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a>
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In the experiments, RF-UAVNet yields the accuracy of 99.85% for drone detection, 98.53% for drone classification, and 95.33% for operation mode recognition, numbers which outperform the current state-of-the-art ...
With the great capability of friendly uses and wide applications for multiple purposes, amateur drones can be piloted to effortlessly access any geographical area. ...
of raw 1D signal at multi-scale resolutions (from coarse to fine). ...
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Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition
<span title="2019-11-28">2019</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ycpqunwwuja6beynxtnfswzqgy" style="color: black;">Drones</a>
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All of the videos were recorded from low-altitude and at low speed to capture the maximum human pose details with relatively high resolution. ...
Aerial human action recognition is an emerging topic in drone applications. Commercial drone platforms capable of detecting basic human actions such as hand gestures have been developed. ...
for human action recognition [13] [14] [15] [16] , datasets for gesture recognition [17] [18] [19] , datasets for face recognition [20, 21] , a dataset for fault detection in photovoltaic plants [ ...
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Self-Controllable Super-Resolution Deep Learning Framework for Surveillance Drones in Security Applications
<span title="2020-06-30">2020</span>
<i title="European Alliance for Innovation n.o.">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sfw6e4bmgrh6rkjkiiddq77y3m" style="color: black;">EAI Endorsed Transactions on Security and Safety</a>
</i>
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This paper proposes a self-controllable super-resolution adaptation algorithm in drone platforms. The drone platforms are generally used for surveillance in target network areas. ...
With the proposed algorithm, the shallow model which is fast and low-performance will be used if the stream queue is near overflow. ...
As a future research direction, a multi-drone scenario will be considered, since such a scenario will also be subject to multiple scheduling problems. 5 EAI Endorsed Transactions on Security and Safety ...
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High-altitude Multi-object Detection and Tracking based on Drone Videos
<span title="">2022</span>
<i title="Institute of Electronics and Computer">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/win5u6cywrb67nnm2j76iaitwu" style="color: black;">Journal of networking and network applications</a>
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Drone videos have more extensive shooting ranges, more angles, and no geographical limitations. ...
Regarding this, we adopt super-resolution reconstruction to increase the data diversity and add artificial o cclusions t o e nhance t he c ollected d ata t o improve t he a ccuracy o f HA-ODT. ...
Second, the long distance between the drones and the ground results in small objects with low resolution and single feature due to the vertically shooting of drones above the sky. ...
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Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios
[article]
<span title="2021-10-10">2021</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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<span title="2020-11-16">2020</span>
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Drone LAMS showed significant improvement over currently available drone-based face detection datasets in terms of detection performance, especially with large pitch and yaw angle. ...
This work presented a new drone-based face detection dataset Drone LAMS in order to solve issues of low performance of drone-based face detection in scenarios such as large angles which was a predominant ...
resolution images, as face detector for this work. ...
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VCIP 2020 Index
<span title="2020-12-01">2020</span>
<i title="IEEE">
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
</i>
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End-to-End Optimized Compressio for Brain Images Zhang, Yuge CNN-BASED ANOMALY DETECTION FOR FACE PRESENTATION ATTACK DETECTION WITH MULTI-CHANNEL IMAGES Zhang, Yuhang Video Super Resolution Using Temporal ...
Appearance
Information for Action Recognition
Sun, Yu-Chen
Adaptive Resolution Change for Versatile Vide
Coding
Sun, Zaichao
Orthogonal Coded Multi-view Structured Light
Inter-view Interference ...
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Directional characteristics evaluation of silhouette-based gait recognition
<span title="2018-07-31">2018</span>
<i title="Springer Nature America, Inc">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tgkeoqpazzdvvd3eofpe7sjgwa" style="color: black;">IPSJ Transactions on Computer Vision and Applications</a>
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In such cases, it is important to identify effective camera positions to maximize gait recognition performance, but it is not yet clear how different viewpoints affect recognition performance. ...
This study determines the relationship between viewpoint and gait recognition performance to construct standards for selecting an appropriate view for gait recognition using multiple or moving cameras. ...
Acknowledgements This work was partly supported by a cooperative research with Qoncept, Inc. ...
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Privacy-Protection Drone Patrol System based on Face Anonymization
[article]
<span title="2020-05-29">2020</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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Moreover, our system is evaluated with a customized drone consisting of a high-resolution camera, a companion computer, and a drone control computer. ...
Surveillance drones take videos with high-resolution to fulfill their role, however, those contain a lot of privacy sensitive information. ...
They proposed pixel-level modifications to change each person's face with minimal effect on action recognition performance. ...
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Objects Detection and Recognition System Using Artificial Neural Networks and Drones
<span title="2018-01-28">2018</span>
<i title="David Publishing Company">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/famkpp5qfbfgbiycddbnxyqk7q" style="color: black;">J of Electrical Engineering</a>
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The paper presents the digital image objects detection and recognition system using artificial neural networks and drones. ...
It contains description based on the example of person identification system where face is the key of object processing. ...
ocessing with
r without
f multi-thread
ng with SSE
g sub-system. ...
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Objects detection and recognition system using artificial neural networks and drones
<span title="">2017</span>
<i title="IEEE">
2017 Signal Processing Symposium (SPSympo)
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The paper presents the digital image objects detection and recognition system using artificial neural networks and drones. ...
It contains description based on the example of person identification system where face is the key of object processing. ...
ocessing with
r without
f multi-thread
ng with SSE
g sub-system. ...
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Things in the air: tagging wearable IoT information on drone videos
<span title="2021-02-24">2021</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/d6aglv4ymvaztfggcj3l3lln2y" style="color: black;">Discover Internet of Things</a>
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Traditional PID technologies such as RFID and fingerprint/iris/face recognition have their limitations or require close contact to specific devices. ...
With drones, Internet of Things are extending to 3D space. An interesting question is: Can we conduct person identification (PID) in a drone view? ...
Reference [21] addresses low-resolution face recognition in the wild via selective knowledge distillation. ...
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