Background subtraction in real applications: Challenges, current models and future directions
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
Object detection in traffic videos: A survey
Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …
transportation systems. Artificially intelligent traffic management systems apply computer …
Real-time full-stack traffic scene perception for autonomous driving with roadside cameras
We propose a novel and pragmatic framework for traffic scene perception with roadside
cameras. The proposed framework covers a full-stack of roadside perception pipeline for …
cameras. The proposed framework covers a full-stack of roadside perception pipeline for …
Design, implementation, and evaluation of a roadside cooperative perception system
Recently, with the advancement in autonomous driving, artificial intelligence, and vehicle-to-
everything (V2X) communications, cooperative perception between roadway infrastructure …
everything (V2X) communications, cooperative perception between roadway infrastructure …
Mining automatically extracted vehicle trajectory data for proactive safety analytics
Proactive safety management has gained increasing attention for its potential to mitigate
crash risk. This study aims to leverage massive vehicle trajectory data for proactive safety …
crash risk. This study aims to leverage massive vehicle trajectory data for proactive safety …
Reference-free video-to-real distance approximation-based urban social distancing analytics amid COVID-19 pandemic
Introduction The rapidly evolving COVID-19 pandemic has dramatically reshaped urban
travel patterns. In this research, we explore the relationship between “social distancing,” a …
travel patterns. In this research, we explore the relationship between “social distancing,” a …
Robust roadside perception for autonomous driving: an annotation-free strategy with synthesized data
Recently, with the rapid development in vehicle-to-infrastructure communication
technologies, the infrastructure-based, roadside perception system for cooperative driving …
technologies, the infrastructure-based, roadside perception system for cooperative driving …
A non-contact vehicle weighing approach based on bridge weigh-in-motion framework and computer vision techniques
W He, J Liu, S Song, P Liu - Measurement, 2024 - Elsevier
Bridge weigh-in-motion (BWIM) system plays increasingly important role in vehicle load
monitoring and bridge maintenance due to advantages of high efficiency and little impact on …
monitoring and bridge maintenance due to advantages of high efficiency and little impact on …
Human detection and tracking using background subtraction in visual surveillance
L Sharma - Towards Smart World, 2020 - taylorfrancis.com
The detection of moving objects has become one of the most focused and challenging areas
from the last few decades in the domain of computer vision. Background subtraction (BGS) is …
from the last few decades in the domain of computer vision. Background subtraction (BGS) is …
MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles
As vehicular communication and networking technologies continue to advance,
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …