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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
video frames
biblio
Human Action Recognition in Video Using DB-LSTM and ResNet
Submitted by grigby1 on Mon, 01/11/2021 - 1:01pm
learning (artificial intelligence)
video-content-based monitoring
video signal processing
video processing
video frames
Scalability
ResNet152
Resiliency
resilience
recurrent neural nets
PyTorch
pubcrawl
object detection
Metrics
man-machine interaction
action recognition
image sequences
Image Processing
image motion analysis
human action recognition method
feature extraction
deep video
deep neural networks
deep bidirectional LSTM networks
DB-LSTM network
DB-LSTM
convolutional neural networks
convolutional neural network
convolutional neural nets
CNN architecture
biblio
Deep Learning Approach for Suspicious Activity Detection from Surveillance Video
Submitted by grigby1 on Mon, 01/11/2021 - 12:58pm
resilience
video surveillance
video frames
video extraction
suspicious behaviors
suspicious activity detection
suspicious activity
Surveillance video
Streaming media
security
Scalability
Resiliency
Artificial Intelligence
pubcrawl
object tracking
Metrics
machine learning
live footage tracking
learning (artificial intelligence)
feature extraction
deep video
deep learning approach
deep learning
Cameras
biblio
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Submitted by grigby1 on Mon, 12/28/2020 - 11:48am
particle filtering (numerical methods)
video signal processing
video sequences
video frames
video data
vehicles
Variational autoencoder
semiautonomous vehicle
security of data
Scalability
robot vision
Resiliency
resilience
pubcrawl
probability
probabilistic latent space models
Adapted Markov Jump Particle Filter
particle filtering
object detection
neural nets
multimodal architecture
mobile robots
Metrics
Markov processes
latent space information generation
Kalman filtering
image sequences
discrete inference levels
continuous inference levels
autonomous vehicles
Anomaly Detection
adaptive filtering
biblio
BlockSee: Blockchain for IoT Video Surveillance in Smart Cities
Submitted by aekwall on Mon, 09/28/2020 - 11:09am
jointly provides validation
video surveillance
video frames
video cameras
urban environments
Urban areas
smart cities
pubcrawl
privacy issues
privacy
physical manipulations
observed scene
multiple video-flows
mechanical settings
malicious users
bitcoin
IoT video surveillance
Internet of Things
Human Factors
Human behavior
heterogeneous owners
distributed city-wide monitoring systems
data privacy
cyber physical systems
CPS Privacy
contracts
Cameras
camera settings
BlockSee
blockchain-based video surveillance system
biblio
Improving Deep Learning by Incorporating Semi-automatic Moving Object Annotation and Filtering for Vision-based Vehicle Detection*
Submitted by grigby1 on Fri, 07/03/2020 - 12:16pm
Task Analysis
Object segmentation
pubcrawl
resilience
Resiliency
road vehicles
Scalability
security monitoring systems
semiautomatic moving object annotation
semiautomatic moving object annotation method
street intersection surveillance videos
object detection
tools
traffic engineering computing
Training
Vehicle detection
video analytics applications
video frames
video signal processing
video surveillance
vision-based vehicle detection
deep learning you-only-look-once model
automatic foreground object extraction
big image data
computer vision
data augmentation
Data models
dataset construction
deep learning
deep learning models
deep learning neural networks
artifactual data
deep video
feature extraction
human-in-the-loop quick selection
image annotation
image filtering
image motion analysis
learning (artificial intelligence)
Metrics
neural nets
biblio
Tracking and Abnormal Behavior Detection in Video Surveillance Using Optical Flow and Neural Networks
Submitted by BrandonB on Fri, 05/01/2015 - 8:34am
Lucas-Kanade approach
video surveillance
video frames
targets identification
synthesized videos
Streaming media
real time videos
Optical imaging
optical flow
Optical computing
object detection
normal movement
Neural networks
neural network
mixture models
abnormal behavior detection
image sequences
image motion analysis
Gaussian processes
Gaussian Mixture Models
foreground detection with Gaussian mixture model
Foreground Detection
FGMM model
feedforward neural nets
feed forward neural network
Feature Selection
computer vision
chaotic movement
Adaptive optics
biblio
Surveillance video analysis using compressive sensing with low latency
Submitted by BrandonB on Fri, 05/01/2015 - 8:33am
Sparse decomposition
wavelet transforms
wavelet frame domain
Wavelet domain
video surveillance
video frames
Video communication
surveillance video analysis
surveillance
Streaming media
Sparse matrices
background segmentation
Object recognition
Matrix decompoistion
LRSD
low rank and sparse decomposition
low latency method
image segmentation
image motion analysis
compressive sensing
compressed sensing
