A review of video surveillance systems
Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …
Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
[HTML][HTML] A combined multiple action recognition and summarization for surveillance video sequences
Human action recognition and video summarization represent challenging tasks for several
computer vision applications including video surveillance, criminal investigations, and sports …
computer vision applications including video surveillance, criminal investigations, and sports …
[HTML][HTML] Gait recognition for person re-identification
Person re-identification across multiple cameras is an essential task in computer vision
applications, particularly tracking the same person in different scenes. Gait recognition …
applications, particularly tracking the same person in different scenes. Gait recognition …
[HTML][HTML] An encoder–decoder-based method for segmentation of COVID-19 lung infection in CT images
The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic,
impulse all the worldwide researchers to exploit all resources and capabilities to understand …
impulse all the worldwide researchers to exploit all resources and capabilities to understand …
EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance
Moving object detection (MOD) has gained significant attention for its application in
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …
Video summarization based on motion detection for surveillance systems
O Elharrouss, N Al-Maadeed… - 2019 15th International …, 2019 - ieeexplore.ieee.org
In this paper a video summarization method based on motion detection has been proposed.
Sensor noise (noise of acquisition and digitization) and the illumination changes in the …
Sensor noise (noise of acquisition and digitization) and the illumination changes in the …
Fast background subtraction with adaptive block learning using expectation value suitable for real-time moving object detection
VJ Montero, WY Jung, YJ Jeong - Journal of Real-Time Image Processing, 2021 - Springer
This paper presents a method of moving object detection through a fast background
subtraction technique suitable for real-time performance in wide range of platforms. An …
subtraction technique suitable for real-time performance in wide range of platforms. An …
[PDF][PDF] A novel approach for robust multi human action detection and recognition based on 3-dimentional convolutional neural networks
N Almaadeed, O Elharrouss… - arXiv preprint arXiv …, 2019 - researchgate.net
In recent years, various attempts have been proposed to explore the use of spatial and
temporal information for human action recognition using convolutional neural networks …
temporal information for human action recognition using convolutional neural networks …
Video surveillance in smart cities: current status, challenges & future directions
H Sharma, N Kanwal - Multimedia Tools and Applications, 2024 - Springer
People across the world aspire to settle in urban areas for better opportunities in career,
education, and healthcare facilities. The increased proportion of people living in urban areas …
education, and healthcare facilities. The increased proportion of people living in urban areas …