A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …
been growing rapidly in the past decade. The most recent studies attempt to integrate …
Weapon detection in real-time cctv videos using deep learning
MT Bhatti, MG Khan, M Aslam, MJ Fiaz - Ieee Access, 2021 - ieeexplore.ieee.org
Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …
economically strong, it must ensure a safe and secure environment for investors and tourists …
Object detection and recognition using contour based edge detection and fast R-CNN
S Rani, D Ghai, S Kumar - Multimedia Tools and Applications, 2022 - Springer
Object detection is a technique of computer vision whose primary intent is to detect objects.
The objects can be detected from any image or video feeds. Now a day's object detection is …
The objects can be detected from any image or video feeds. Now a day's object detection is …
A low-complexity pedestrian detection framework for smart video surveillance systems
Pedestrian detection is a key problem in computer vision and is currently addressed with
increasingly complex solutions involving compute-intensive features and classification …
increasingly complex solutions involving compute-intensive features and classification …
A smart unstaffed retail shop based on artificial intelligence and IoT
Unstaffed retail shop has been emerging in the past years and significantly affected
conventional shop** styles. In this area, unmanned retail container plays an important …
conventional shop** styles. In this area, unmanned retail container plays an important …
Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods
Intelligent transportation system (ITS) collects numerous data for analysis of the
transportation system. The data can be used for providing services for travellers and traffic …
transportation system. The data can be used for providing services for travellers and traffic …
Centrality measures for evacuation: Finding agile evacuation routes
M Lujak, S Giordani - Future Generation Computer Systems, 2018 - Elsevier
In this paper, we study the agility of evacuation routes in relation to dynamically changing
unpredictable hazardous conditions in smart space networks. Infrastructure safety conditions …
unpredictable hazardous conditions in smart space networks. Infrastructure safety conditions …
RETRACTED ARTICLE: Video analytics-based intelligent surveillance system for smart buildings
KS Gautam, SK Thangavel - Soft Computing, 2019 - Springer
The goal of the work is to automate video surveillance. The work holds its importance since
the camera surveillance under manual supervision fails occasionally. Face images of …
the camera surveillance under manual supervision fails occasionally. Face images of …
: A Robust Change Detection Method for Intelligent Visual Surveillance
In this paper, we propose a robust change detection method for intelligent visual
surveillance. This method, named M 4 CD, includes three major steps. First, a sample-based …
surveillance. This method, named M 4 CD, includes three major steps. First, a sample-based …
New shape descriptor in the context of edge continuity
S Susan, P Agrawal, M Mittal… - CAAI Transactions on …, 2019 - Wiley Online Library
The object contour is a significant cue for identifying and categorising objects. The current
work is motivated by indicative researches that attribute object contours to edge information …
work is motivated by indicative researches that attribute object contours to edge information …