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 …
Vehicle detection in intelligent transportation systems and its applications under varying environments: A review
Z Yang, LSC Pun-Cheng - Image and Vision Computing, 2018 - Elsevier
Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …
Transportation Systems. With the development of computer vision techniques and …
A review on video-based human activity recognition
This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …
human activity recognition. Three aspects for human activity recognition are addressed …
Comprehensive review of vision-based fall detection systems
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …
To determine the course of its evolution and help new researchers, the main audience of this …
A survey of advances in vision-based human motion capture and analysis
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
An improved adaptive background mixture model for real-time tracking with shadow detection
P KaewTraKulPong, R Bowden - Video-based surveillance systems …, 2002 - Springer
Real-time segmentation of moving regions in image sequences is a fundamental step in
many vision systems including automated visual surveillance, human-machine interface …
many vision systems including automated visual surveillance, human-machine interface …
PKLot–A robust dataset for parking lot classification
Outdoor parking lot vacancy detection systems have attracted a great deal of attention in the
last decade due the large number of practical applications. However, a common problem …
last decade due the large number of practical applications. However, a common problem …
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
A Elgammal, R Duraiswami, D Harwood… - Proceedings of the …, 2002 - ieeexplore.ieee.org
Automatic understanding of events happening at a site is the ultimate goal for many visual
surveillance systems. Higher level understanding of events requires that certain lower level …
surveillance systems. Higher level understanding of events requires that certain lower level …
Real-time foreground–background segmentation using codebook model
We present a real-time algorithm for foreground–background segmentation. Sample
background values at each pixel are quantized into codebooks which represent a …
background values at each pixel are quantized into codebooks which represent a …
An effective method of weld defect detection and classification based on machine vision
In order to effectively identify and classify weld defects of thin-walled metal canisters, a weld
defect detection and classification algorithm based on machine vision is proposed in this …
defect detection and classification algorithm based on machine vision is proposed in this …