Obfuscated memory malware detection in resource-constrained IoT devices for smart city applications
Obfuscated Memory Malware (OMM) presents significant threats to interconnected systems,
including smart city applications, for its ability to evade detection through concealment …
including smart city applications, for its ability to evade detection through concealment …
Using synthetic data to improve and evaluate the tracking performance of construction workers on site
M Neuhausen, P Herbers, M König - Applied Sciences, 2020 - mdpi.com
Vision-based tracking systems enable the optimization of the productivity and safety
management on construction sites by monitoring the workers' movements. However, training …
management on construction sites by monitoring the workers' movements. However, training …
Deep learning: survey of environmental and camera impacts on internet of things images
Abstract Internet of Things (IoT) images are captivating growing attention because of their
wide range of applications which requires visual analysis to drive automation. However, IoT …
wide range of applications which requires visual analysis to drive automation. However, IoT …
Video representation and suspicious event detection using semantic technologies
Storage and analysis of video surveillance data is a significant challenge, requiring video
interpretation and event detection in the relevant context. To perform this task, the low-level …
interpretation and event detection in the relevant context. To perform this task, the low-level …
Synthetic data for evaluating the visual tracking of construction workers
M Neuhausen, P Herbers, M König - … Research Congress 2020, 2020 - ascelibrary.org
Construction sites are hazardous environments due to the sites' complex and dynamic
nature. Hazardous situations especially arise when construction workers collaborate with …
nature. Hazardous situations especially arise when construction workers collaborate with …
Evaluation of synthetic video data in machine learning approaches for parking space classification
Most modern computer vision techniques rely on large amounts of meticulously annotated
data for training and evaluation. In close-to-market development, this demand is even higher …
data for training and evaluation. In close-to-market development, this demand is even higher …
Using Unreal Engine as an engineering tool for traffic simulation and analysis
J Manjón Prado - 2020 - upcommons.upc.edu
This project studies the aggravating problem of road traffic and congestion, and some of its
solutions: autonomous cars and traffic simulation software. Unreal Engine is presented as a …
solutions: autonomous cars and traffic simulation software. Unreal Engine is presented as a …