Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues
The multifarious video contents generated through various applications is growing
exponentially resulting in huge volumes. Analyzing these contents manually is a …
exponentially resulting in huge volumes. Analyzing these contents manually is a …
Video analytics based identification and tracking in smart spaces
Nowadays, video cameras have become a necessary part of everyday life. These cameras
can be found at various places for surveillance, health care, emergencies and disasters. In …
can be found at various places for surveillance, health care, emergencies and disasters. In …
Suspicious activity detection using live video analysis
A Gorave, S Misra, O Padir, A Patil, K Ladole - Proceeding of International …, 2020 - Springer
Video analytics is a field of computer science which involves processing of videos and live
video streams to gather data for obtaining domain-specific information. The traditional …
video streams to gather data for obtaining domain-specific information. The traditional …
Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
Smart monitoring cameras driven intelligent processing to big surveillance video data
Video surveillance system has become a critical part in the security and protection system of
modem cities, since smart monitoring cameras equipped with intelligent video analytics …
modem cities, since smart monitoring cameras equipped with intelligent video analytics …
Edge-Computing-Enabled Abnormal Activity Recognition for Visual Surveillance
Due to the ever increasing number of closed circuit television (CCTV) cameras worldwide, it
is the need of the hour to automate the screening of video content. Still, the majority of video …
is the need of the hour to automate the screening of video content. Still, the majority of video …
Video scene analysis: an overview and challenges on deep learning algorithms
Video scene analysis is a recent research topic due to its vital importance in many
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …
Towards smarter cities: Learning from Internet of Multimedia Things-generated big data
In today's technological era, smart devices connected through the IoT and giant IoT
infrastructures are playing a vital role in making daily life easier and simpler than it ever was …
infrastructures are playing a vital role in making daily life easier and simpler than it ever was …
RETRACTED ARTICLE: Automatic alert generation in a surveillance systems for smart city environment using deep learning algorithm
B Janakiramaiah, G Kalyani, A Jayalakshmi - Evolutionary Intelligence, 2021 - Springer
In Smart cities surveillance is an extremely important feature required for ensuring the safety
of citizens and also for deterring the crime. Hence, intelligent video surveillance (IVS) …
of citizens and also for deterring the crime. Hence, intelligent video surveillance (IVS) …
Intelligent video analytic for suspicious object detection: A systematic review
F Hidayat - 2020 International Conference on ICT for Smart …, 2020 - ieeexplore.ieee.org
Conventional surveillance systems such as CCTV still have limitations that merely viewing
and recording. This limitation causes its function to only be passive monitoring and unable to …
and recording. This limitation causes its function to only be passive monitoring and unable to …