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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 …
Detection of bottle marine Debris using unmanned aerial vehicles and machine learning techniques
TLC Tran, ZC Huang, KH Tseng, PH Chou - Drones, 2022 - mdpi.com
Bottle marine debris (BMD) remains one of the most pressing global issues. This study
proposes a detection method for BMD using unmanned aerial vehicles (UAV) and machine …
proposes a detection method for BMD using unmanned aerial vehicles (UAV) and machine …
[HTML][HTML] Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos
Recent advancements in deep learning and video analysis, combined with the efficiency of
contemporary computational resources, have catalyzed the development of advanced real …
contemporary computational resources, have catalyzed the development of advanced real …
Moving object detection using a background modeling based on entropy theory and quad-tree decomposition
O Elharrouss, D Moujahid, S Elkah… - Journal of Electronic …, 2016 - spiedigitallibrary.org
A particular algorithm for moving object detection using a background subtraction approach
is proposed. We generate the background model by combining quad-tree decomposition …
is proposed. We generate the background model by combining quad-tree decomposition …
Moving object detection zone using a block‐based background model
Background modelling is a critical case for background‐subtraction‐based approaches and
also for a wide range of applications. The background generation becomes difficult when the …
also for a wide range of applications. The background generation becomes difficult when the …
A block-based background model for moving object detection
Detecting the moving objects in a video sequence using a stationary camera is an important
task for many computer vision applications. This paper proposes a background subtraction …
task for many computer vision applications. This paper proposes a background subtraction …
Abnormal activities detection for security purpose unattainded bag and crowding detection by using image processing
SS Phule, SD Sawant - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
The detection of unusual activity in different crowded surroundings is crucial intended for
personal safety of the in localities like shop** centers, airports and many other. The …
personal safety of the in localities like shop** centers, airports and many other. The …
Analysis and trends on moving object detection algorithm techniques
This paper presents a survey on dynamic object detection in video sequences. Many
methods have been proposed during several years that intent to solve the problems of …
methods have been proposed during several years that intent to solve the problems of …
Optical flow based violence detection in video surveillance
PD Garje, MS Nagmode… - … conference on advances …, 2018 - ieeexplore.ieee.org
Video Surveillance has become an issue of utmost importance due to rising crime and
violence rate in the world. Many algorithms exist to analyze the behavior of the moving …
violence rate in the world. Many algorithms exist to analyze the behavior of the moving …
Enhancing museum security with advanced scene-based action recognition techniques
The automated detection of anomalous behavior in computer vision has become
increasingly critical, enabling security personnel to swiftly and accurately identify potentially …
increasingly critical, enabling security personnel to swiftly and accurately identify potentially …