Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
CNN-based deep learning architecture
biblio
A deep learning approach to trespassing detection using video surveillance data
Submitted by grigby1 on Fri, 07/03/2020 - 1:15pm
Railroad security
Deep Neural Network
dual-stage ARTS architecture
dual-stage deep learning architecture
early warning prediction techniques
high fidelity trespass classification stage
inexpensive pre-filtering stage
potential trespassing sites
public domain surveillance data
deep convolutional neural networks
railroad trespassing activity
safety risks
Subspace constraints
surveillance
Trespassing detection
video processing
video surveillance data
deep video
convolutional neural nets
computer architecture
machine learning
pubcrawl
Metrics
Resiliency
resilience
learning (artificial intelligence)
deep learning
Scalability
Neural networks
video surveillance
Detectors
activity detection
automated railroad trespassing detection system
background subtraction
CNN-based deep learning architecture
computer vision
