Spatio-temporal data mining: A survey of problems and methods
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …
domains, including climate science, social sciences, neuroscience, epidemiology …
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 …
Traditional and recent approaches in background modeling for foreground detection: An overview
T Bouwmans - Computer science review, 2014 - Elsevier
Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …
model the background and then detect the moving objects in the scene like in video …
A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos
Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …
applied to detect moving objects within a video stream. Many algorithms have been …
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 …
New trends on moving object detection in video images captured by a moving camera: A survey
This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …
sequences captured by a moving camera. Although many researches and excellent works …
Improved adaptive Gaussian mixture model for background subtraction
Z Zivkovic - Proceedings of the 17th International Conference …, 2004 - ieeexplore.ieee.org
Background subtraction is a common computer vision task. We analyze the usual pixel-level
approach. We develop an efficient adaptive algorithm using Gaussian mixture probability …
approach. We develop an efficient adaptive algorithm using Gaussian mixture probability …
Evaluation of background subtraction techniques for video surveillance
S Brutzer, B Höferlin, G Heidemann - CVPR 2011, 2011 - ieeexplore.ieee.org
Background subtraction is one of the key techniques for automatic video analysis, especially
in the domain of video surveillance. Although its importance, evaluations of recent …
in the domain of video surveillance. Although its importance, evaluations of recent …
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 …
[KİTAP][B] Computer and machine vision: theory, algorithms, practicalities
ER Davies - 2012 - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …
Machine Vision) clearly and systematically presents the basic methodology of computer and …