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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
object detection
biblio
On the Generality of Facial Forgery Detection
Submitted by grigby1 on Fri, 01/15/2021 - 11:14am
computer architecture
tools
feature extraction
CNN
convolutional neural nets
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
Scalability
Streaming media
Metrics
Task Analysis
face recognition
convolutional neural networks
object detection
Face
video streaming
DeepFake
Deepfakes
Face2Face
Forgery
CNN architectures
detection architectures
FaceSwap
facial forgery detection
GANnotation
ICface
image forgery detection
MesoNet
multiple spoofing techniques
unseen spoofing techniques
unseen techniques
X2Face
XceptionNet
biblio
Image Feature Detectors for Deepfake Video Detection
Submitted by grigby1 on Fri, 01/15/2021 - 11:11am
Training
feature extraction
Support vector machines
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
Scalability
Classification algorithms
Metrics
image classification
Detectors
regression analysis
Image forensics
object detection
Videos
video signal processing
SVM classifier
DeepFake
BRISK
comprehensive test
deep fake video detection
DeepFake Video
digital media forensics
false video detection
FAST
FAST algorithms
feature point extraction
feature-detector-descriptors
feature-point detectors
HOG
image feature detectors
Information integrity
KAZE
ORB
support vector machine regression
SURF
SVM regression
biblio
OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder
Submitted by grigby1 on Fri, 01/15/2021 - 11:02am
learning (artificial intelligence)
Training
Anomaly Detection
pubcrawl
Human behavior
Human Factors
Metrics
Resiliency
data privacy
Scalability
privacy issues
Support vector machines
Streaming media
Benchmark testing
resilience
Forensics
face recognition
feature extraction
image classification
pattern clustering
object detection
Image reconstruction
Face
DeepFake
binary-classification based detection
binary-classification based methods
class-based approach
computer-generated image
data scarcity limitations
deepfakes data
deepfakes detection
deepfakes generation methods
detecting Deepfakes
detection performance
detects nonreal images
fake face images
image forgery method
OC-FakeDect
one-class anomaly detection problem
one-class variational autoencoder
person
sufficient fake images data
biblio
Effective and Fast DeepFake Detection Method Based on Haar Wavelet Transform
Submitted by grigby1 on Fri, 01/15/2021 - 11:02am
pubcrawl
Human behavior
Human Factors
Metrics
Resiliency
Scalability
neural nets
resilience
face recognition
feature extraction
Gallium nitride
Image edge detection
gan
object detection
generative adversarial networks
Face
Videos
wavelet transforms
video signal processing
detection rate
DeepFake
Blur inconsistency
blur inconsistency detection scheme
DeepFake detection method
DeepFake generation algorithms
DeepFake videos
distortion
exclusive blur inconsistency
face images
face region
fake face
generated face
Generative Adversarial Networks GANs
Haar transforms
Haar wavelet
Haar wavelet transform
high-quality fake videos
realistic manner
source video
surrounding context
Wavelet domain
biblio
Deepfake Detection with Clustering-based Embedding Regularization
Submitted by grigby1 on Fri, 01/15/2021 - 11:01am
learning (artificial intelligence)
security of data
pubcrawl
Human behavior
Human Factors
Metrics
Resiliency
embedded systems
Scalability
resilience
face recognition
feature extraction
social networking (online)
pattern clustering
detection accuracy
object detection
video signal processing
Regularization
DeepFake
deepfake detection
AI-synthesized face swapping videos
clustering-based
clustering-based embedding regularization
deepfake datasets
deepfake detection competitions
deepfake video detection
face swapping
false video
video quality
biblio
Human Action Recognition in Video Using DB-LSTM and ResNet
Submitted by grigby1 on Mon, 01/11/2021 - 1:01pm
action recognition
CNN architecture
convolutional neural nets
convolutional neural network
convolutional neural networks
DB-LSTM
DB-LSTM network
deep bidirectional LSTM networks
deep neural networks
deep video
feature extraction
human action recognition method
image motion analysis
Image Processing
image sequences
learning (artificial intelligence)
man-machine interaction
Metrics
object detection
pubcrawl
PyTorch
recurrent neural nets
resilience
Resiliency
ResNet152
Scalability
video frames
video processing
video signal processing
video-content-based monitoring
biblio
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices
Submitted by grigby1 on Mon, 01/11/2021 - 1:01pm
camera characteristics
Cameras
computer architecture
consistency
Crowd density estimation
crowd management tasks
crowdsourcing
deep architecture
deep net crowd counting
Deep Neural Network
deep video
estimation
feature extraction
Internet of Things
Internet of Things cameras
IoT cameras
Kernel
Metrics
neural nets
object detection
pubcrawl
pyramid contextual module
resilience
Resiliency
Robustness
Scalability
security
security system
Self attention network
smart IoT video acquisition devices
video surveillance
biblio
IoT Based Smart Video Surveillance System Using Convolutional Neural Network
Submitted by grigby1 on Mon, 01/11/2021 - 12:59pm
camera
captured video
client and server architecture
client-server systems
CNN
COCO dataset
common objects in context dataset
convolutional neural nets
convolutional neural network
crime rate
deep learning
deep video
fully automatic video surveillance systems
image capture
Internet of Things
IoT
IoT based smart video surveillance system
learning (artificial intelligence)
Metrics
microprocessor chips
Mobile Application
mobile computing
MobileNetv2-SSDLite model
object detection
object detection model
police data processing
pubcrawl
Raspberry Pi
resilience
Resiliency
Scalability
Smart video surveillance
SMS notification
video signal processing
video surveillance
Web application
biblio
Research on Neural Networks Integration for Object Classification in Video Analysis Systems
Submitted by grigby1 on Mon, 01/11/2021 - 12:59pm
convolutional neural networks
Deep Neural Network
deep video
direct Python script execution techniques
false detections
image classification
image motion analysis
image sequence
image sequences
Keras
Keras developer-friendly environment
Keras integration
Metrics
moving objects detection
network architectures
network training
neural nets
neural networks integration
object classification
object detection
Object recognition
outdoor video surveillance cameras
pubcrawl
resilience
Resiliency
Scalability
TensorFlow
video analysis
video analysis system
video cameras
video signal processing
video surveillance
video surveillance system
biblio
Abnormal Traffic Congestion Recognition Based on Video Analysis
Submitted by grigby1 on Mon, 01/11/2021 - 12:59pm
abnormal road traffic events
abnormal traffic congestion recognition
China
computer vision
daily traffic management
deep learning
deep video
feature extraction
image motion analysis
Kalman filters
learning (artificial intelligence)
Metrics
motion state
Multi object tracking and detection
multitarget tracking
neural nets
object detection
object tracking
pubcrawl
public security
resilience
Resiliency
road traffic
road traffic flow data
road vehicles
Roads
Scalability
Sudden congestion
target tracking
time 60.0 s
Traffic congestion
traffic congestion events
traffic congestion incidents
Traffic detection
traffic engineering computing
traffic police
Trajectory
urban traffic management
Vehicle detection
vehicle flow
video analysis
video monitoring
video signal processing
video surveillance
video surveillance equipment
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