Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
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 …
Foreground segmentation using convolutional neural networks for multiscale feature encoding
LA Lim, HY Keles - Pattern Recognition Letters, 2018 - Elsevier
Several methods have been proposed to solve moving objects segmentation problem
accurately in different scenes. However, many of them lack the ability of handling various …
accurately in different scenes. However, many of them lack the ability of handling various …
A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices
Cloud computing has been a main-stream computing service for years. Recently, with the
rapid development in urbanization, massive video surveillance data are produced at an …
rapid development in urbanization, massive video surveillance data are produced at an …
Learning multi-scale features for foreground segmentation
LA Lim, HY Keles - Pattern Analysis and Applications, 2020 - Springer
Foreground segmentation algorithms aim at segmenting moving objects from the
background in a robust way under various challenging scenarios. Encoder–decoder-type …
background in a robust way under various challenging scenarios. Encoder–decoder-type …
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 self-organizing approach to background subtraction for visual surveillance applications
L Maddalena, A Petrosino - IEEE Transactions on image …, 2008 - ieeexplore.ieee.org
Detection of moving objects in video streams is the first relevant step of information
extraction in many computer vision applications. Aside from the intrinsic usefulness of being …
extraction in many computer vision applications. Aside from the intrinsic usefulness of being …
Rain or snow detection in image sequences through use of a histogram of orientation of streaks
J Bossu, N Hautiere, JP Tarel - International journal of computer vision, 2011 - Springer
The detection of bad weather conditions is crucial for meteorological centers, specially with
demand for air, sea and ground traffic management. In this article, a system based on …
demand for air, sea and ground traffic management. In this article, a system based on …
[HTML][HTML] Human detection in surveillance videos and its applications-a review
Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …
application areas including abnormal event detection, human gait characterization …
Comparative study of background subtraction algorithms
Y Benezeth, PM Jodoin, B Emile… - Journal of …, 2010 - spiedigitallibrary.org
We present a comparative study of several state-of-the-art background subtraction methods.
Approaches ranging from simple background subtraction with global thresholding to more …
Approaches ranging from simple background subtraction with global thresholding to more …