Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
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 …
Semantics for robotic map**, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
On the applications of robust PCA in image and video processing
Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image …
matrices offers a powerful framework for a large variety of applications such as image …
Detecting and tracking small and dense moving objects in satellite videos: A benchmark
Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …
important for many remote sensing applications. However, achieving moving object …
An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …
background regions, is one of the elementary tasks in computer vision and video analytics …
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …
disassemble the present condition and anticipate the emerging trends of violence discovery …
Networked unmanned aerial vehicles for surveillance and monitoring: A survey
As a typical cyber-physical system, networked unmanned aerial vehicles (UAVs) have
received much attention in recent years. Emerging communication technologies and high …
received much attention in recent years. Emerging communication technologies and high …
A real-time object detection algorithm for video
S Lu, B Wang, H Wang, L Chen, M Linjian… - Computers & Electrical …, 2019 - Elsevier
Deep learning technology has been widely used in object detection. Although the deep
learning technology greatly improves the accuracy of object detection, we also have the …
learning technology greatly improves the accuracy of object detection, we also have the …
Recent advances of target tracking applications in aquaculture with emphasis on fish
Y Mei, B Sun, D Li, H Yu, H Qin, H Liu, N Yan… - … and Electronics in …, 2022 - Elsevier
In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …
reduces the threat of loss from disease and stress. Fish tracking technology plays an …