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Privacy in mini-drone based video surveillance

https://doi.org/10.1109/fg.2015.7285023

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.clsr.2012.01.005openalex-snapshot

Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications

inferredcites →https://doi.org/10.1016/j.clsr.2014.03.007openalex-snapshot

The regulation of civilian drones' impacts on public safety

inferredcites →https://doi.org/10.1109/avss.2013.6636641openalex-snapshot

Using face morphing to protect privacy

inferredcites →https://doi.org/10.1109/ethics.2014.6893424openalex-snapshot

Ethical issues with use of Drone aircraft

inferredcites →https://doi.org/10.1109/icdsp.2013.6622791openalex-snapshot

Using warping for privacy protection in video surveillance

inferredcites →https://doi.org/10.1109/icip.2014.7026221openalex-snapshot

Towards optimal distortion-based visual privacy filters

inferredcites →https://doi.org/10.1109/icme.2010.5583552openalex-snapshot

A framework for the validation of privacy protection solutions in video surveillance

inferredcites →https://doi.org/10.1109/jproc.2014.2302875openalex-snapshot

“Drones” and the future of domestic aviation [Point of View]

inferredcites →https://doi.org/10.1109/mmsp.2012.6343472openalex-snapshot

Subjective study of privacy filters in video surveillance

inferredcites →https://doi.org/10.1109/mts.2014.2319951openalex-snapshot

Drones Humanus [Introduction to the Special Issue]

inferredcites →https://doi.org/10.1109/pcs.2012.6213338openalex-snapshot

QualityCrowd — A framework for crowd-based quality evaluation

inferredcites →https://doi.org/10.1109/tcsvt.2008.928225openalex-snapshot

Scrambling for Privacy Protection in Video Surveillance Systems

inferredcites →https://doi.org/10.1109/tkde.2005.32openalex-snapshot

Preserving privacy by de-identifying face images

inferredcites →https://doi.org/10.1109/tmm.2013.2291663openalex-snapshot

Best Practices for QoE Crowdtesting: QoE Assessment With Crowdsourcing

inferredcites →https://doi.org/10.1117/12.2030974openalex-snapshot

PEViD: privacy evaluation video dataset

inferredcites →https://doi.org/10.1117/12.2054541openalex-snapshot

Crowdsourcing-based evaluation of privacy in HDR images

inferredcites →https://doi.org/10.1145/2000486.2000488openalex-snapshot

Video quality for face detection, recognition, and tracking

inferredcites →https://doi.org/10.1145/2390803.2390817openalex-snapshot

Crowdsourcing approach for evaluation of privacy filters in video surveillance

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Under the camera eye: effects of video-surveillance technology on users’ performance and anxiety levels

inferred← citeshttps://doi.org/10.1007/s10462-020-09943-1openalex-snapshot

Applications, databases and open computer vision research from drone videos and images: a survey

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Deep learning applied for abnormal human behavior recognition in video surveillance systems: A systematic review

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A Cybersecurity Risk Framework for Unmanned Aircraft Systems under Specific Category

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Deep learning and handcrafted features for one-class anomaly detection in UAV video

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Deep learning-based face detection and recognition on drones

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Anomaly detection using edge computing in video surveillance system: review

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Towards speech quality assessment using a crowdsourcing approach: evaluation of standardized methods

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Convolutional neural networks for object detection in aerial imagery for disaster response and recovery

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Diving deep into human action recognition in aerial videos: A survey

inferred← citeshttps://doi.org/10.1016/j.jvcir.2025.104585openalex-snapshot

Visual anomaly detection algorithms: Development and Frontier review

inferred← citeshttps://doi.org/10.1063/5.0119703openalex-snapshot

A review on Unmanned Aerial Vehicle (UAV) threats assessments

inferred← citeshttps://doi.org/10.1109/access.2019.2941026openalex-snapshot

Performance Analysis of Semantic Segmentation Algorithms for Finely Annotated New UAV Aerial Video Dataset (ManipalUAVid)

inferred← citeshttps://doi.org/10.1109/aike.2019.00012openalex-snapshot

Semantic Segmentation of UAV Aerial Videos using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/fg.2019.8756593openalex-snapshot

DroneSURF: Benchmark Dataset for Drone-based Face Recognition

inferred← citeshttps://doi.org/10.1109/gcwkshps45667.2019.9024557openalex-snapshot

BirdsEyeView: Aerial View Dataset for Object Classification and Detection

inferred← citeshttps://doi.org/10.1109/i2mtc60896.2024.10561168openalex-snapshot

Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors

inferred← citeshttps://doi.org/10.1109/i4c57141.2022.10057749openalex-snapshot

Social Distance Detector Using Computer Vision and Deep Learning to Combat COVID-19

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Machine Learning Approach for Unmanned Aerial Vehicle’s Path Scheduling and Precise Circle Detection

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VALID: A Comprehensive Virtual Aerial Image Dataset

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Implementation of detection and tracking mechanism for small UAS

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Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey

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A Novel Unmanned Aerial-Ground Hybrid Vehicle for Rescue Missions and Extreme-Duty Operations

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Protecting Privacy From Aerial photography: State of the Art, Opportunities, and Challenges

inferred← citeshttps://doi.org/10.1109/iscc50000.2020.9219585openalex-snapshot

UAV-based Surveillance System: an Anomaly Detection Approach

inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294694openalex-snapshot

Presenting the Multi-view Traffic Intersection Dataset (MTID): A Detailed Traffic-Surveillance Dataset

inferred← citeshttps://doi.org/10.1109/jiot.2023.3330459openalex-snapshot

Multitiered Reversible Data Privacy Protection Scheme for IoT Based on Compression Sensing and Digital Watermarking

inferred← citeshttps://doi.org/10.1109/jiot.2024.3519458openalex-snapshot

EdgeCrypt Tracker: Object Tracking With Differential Encryption for IoAAV Surveillance

inferred← citeshttps://doi.org/10.1109/jstars.2023.3285905openalex-snapshot

UIT-ADrone: A Novel Drone Dataset for Traffic Anomaly Detection

inferred← citeshttps://doi.org/10.1109/metrocad51599.2021.00015openalex-snapshot

PlateGuard: License Plate Privacy Protection for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/ojvt.2024.3477937openalex-snapshot

Software-Defined Radio Deployments in UAV-Driven Applications: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/pcems58491.2023.10136044openalex-snapshot

Anomaly Detection by Predicting Future Frames using Convolutional LSTM in Video Surveillance

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A Novel Approach for Border Security; Surveillance Drone with Live Intrusion Monitoring

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Memory-Enhanced Dynamic Evolutionary Control of Reconfigurable Intelligent Surfaces

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DetReIDX : A Stress-Test Dataset for Real-World UAV-Based Person Recognition

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Anomaly Detection in Aerial Videos With Transformers

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A Multiviewpoint Outdoor Dataset for Human Action Recognition

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Privacy–Enhancing Face Biometrics: A Comprehensive Survey

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Multi-Purpose Drones for Coverage and Transport Applications

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Drone Image Based Illegal Crowd Detection For Covid-19 Disease Prevention Via Convolutional Neural Networks (CNNs) Transfer Learning

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I Can't Be Myself

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A Survey on Privacy Preservation in Fog-Enabled Internet of Things

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PriFU: Capturing Task-Relevant Information Without Adversarial Learning

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Visual Content Privacy Protection: A Survey

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Object Detection for Aerial View Images: Dataset and Learning Rate

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Dynamic scene understanding: Pedestrian tracking from aerial devices.

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Self-Supervised Multiple-Hierarchical Transformer for Abnormal Human Action Recognition in Uav Surveillance System

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Beyond Recognition : Privacy Protections in a Surveilled World

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Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding

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Monitoring Human Visual Behavior during the Observation of Unmanned Aerial Vehicles (UAVs) Videos

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Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition

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EyeTrackUAV2: A Large-Scale Binocular Eye-Tracking Dataset for UAV Videos

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End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream

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A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude

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LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection

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PENGARUH KETEBALAN MANUFAKTUR FRAME MINI DRONE 3D PRINTING DENGAN SIMULASI STRESS, DISPLACEMENT, DAN SAFETY OF FACTOR MENGGUNAKAN SOFTWARE SOLIDWORKS

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Deep Learning Anomaly Detection for Drone-based Surveillance

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Cybersecurity risk assessment for Unmanned Aircraft Systems

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