Moving object detection: Review of recent research trends

JS Kulchandani, KJ Dangarwala - … International conference on …, 2015 - ieeexplore.ieee.org
Moving object detection is the task of identifying the physical movement of an object in a
given region or area. Over last few years, moving object detection has received much of …

A comprehensive survey of video datasets for background subtraction

R Kalsotra, S Arora - IEEE Access, 2019 - ieeexplore.ieee.org
Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …

MSFgNet: A novel compact end-to-end deep network for moving object detection

PW Patil, S Murala - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Moving object detection (MOD) in videos is a challenging task. Estimation of accurate
background is the key to extracting the foreground from video frames. In this paper, we have …

Handling illumination variation for motion detection in video through intelligent method: An application for smart surveillance system

M Kumar, DK Yadav, S Ray, R Tanwar - Multimedia Tools and …, 2024 - Springer
The motion-based human detection from video data in the real-time automated surveillance
system is a tedious and challenging task that requires extracting meaningful information and …

A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning

MU Arif, MU Farooq, RH Raza, ZUA Lodhi… - IEEE …, 2022 - ieeexplore.ieee.org
Design of a vision-based traffic analytic system for urban traffic video scenes has a great
potential in context of Intelligent Transportation System (ITS). It offers useful traffic-related …

Analysis of computer vision based techniques for motion detection

S Manchanda, S Sharma - 2016 6th international conference …, 2016 - ieeexplore.ieee.org
Motion detection or moving object detection in a video is a process of identification of the
change of physical position of the object. Nowadays the field of computer vision based …

Development of deep learning‐based equipment heat load detection for energy demand estimation and investigation of the impact of illumination

S Wei, J Calautit - International Journal of Energy Research, 2021 - Wiley Online Library
As the use of equipment in office buildings increases, accurate equipment usage detection
is valuable for the reduction of energy consumption and carbon emission. Using the …

Optical reflection invariant-based method for moving shadows removal

B Wang, CLP Chen - Optical engineering, 2018 - spiedigitallibrary.org
This paper proposes a multiple features fusion method for moving shadows removal mainly
based on optical reflection invariant. It assumed that the optical reflection of object surface …

A novel approach to shadow boundary detection based on an adaptive direction-tracking filter for brain-machine interface applications

Z Ju, L Gun, A Hussain, M Mahmud, C Ieracitano - Applied Sciences, 2020 - mdpi.com
In this paper, a Brain-Machine Interface (BMI) system is proposed to automatically control
the navigation of wheelchairs by detecting the shadows on their route. In this context, a new …

Improved background subtraction technique for detecting moving objects

T Pal - Recent Advances in Computer Science and …, 2021 - ingentaconnect.com
Introduction: Moving object detection from videos is among the most difficult task in different
areas of computer vision applications. Among the traditional object detection methods …