A blockchain-based edge collaborative detection scheme for construction internet of things
F **ong, C Xu, W Ren, R Zheng, P Gong… - Automation in …, 2022 - Elsevier
For smart construction, it is increasingly necessary to develop innovative methods to
automatically detect whether construction workers are wearing safety helmets or not. With …
automatically detect whether construction workers are wearing safety helmets or not. With …
A comprehensive survey on machine learning techniques to mobilize multi-camera network for smart surveillance
AM Dharan, D Mukhopadhyay - Innovations in Systems and Software …, 2023 - Springer
Deploying a web of CCTV cameras for surveillance has become an integral part of any
smart city's security procedure. This, however, has led to a steady increase in the number of …
smart city's security procedure. This, however, has led to a steady increase in the number of …
Distributed video surveillance using smart cameras
Video surveillance systems have become an indispensable tool for the security and
organization of public and private areas. Most of the current commercial video surveillance …
organization of public and private areas. Most of the current commercial video surveillance …
Multi-target tracking in distributed sensor networks using particle PHD filters
MR Leonard, AM Zoubir - Signal Processing, 2019 - Elsevier
Multi-target tracking is an important problem in civilian and military applications. This paper
investigates multi-target tracking in distributed sensor networks. Data association, which …
investigates multi-target tracking in distributed sensor networks. Data association, which …
Head pose estimation based robust multicamera face recognition
H Badave, M Kuber - 2021 International Conference on Artificial …, 2021 - ieeexplore.ieee.org
In recent times, multicamera based face recognition has become an active research domain.
Face recognition is utilized in multiple areas of applications such as surveillance, security …
Face recognition is utilized in multiple areas of applications such as surveillance, security …
Ifr: Interactively pose corrected face recognition
S Nash, M Rhodes, JI Olszewska - International Conference on Bio …, 2016 - scitepress.org
Although face recognition applications are growing, robust face recognition is still a
challenging task due eg to variations in face poses, facial expressions, or lighting conditions …
challenging task due eg to variations in face poses, facial expressions, or lighting conditions …
Multi-Camera Face Detection and Recognition in Unconstrained Environment
Multi-camera face detection and recognition is an Artificial Intelligence (AI) based
technology that leverages multiple cameras placed at different locations to detect and …
technology that leverages multiple cameras placed at different locations to detect and …
Deep Learning Based Real-Time Face Tracking System in Multi-Camera
MF Ozdemir, D Hanbay - Available at SSRN 4098733 - papers.ssrn.com
Face detection and tracking have become popular in recent years. It has critical importance
in security, defense, and robotic uses encountered in daily life. For this purpose, many …
in security, defense, and robotic uses encountered in daily life. For this purpose, many …
Bayesian score level fusion for facial recognition
MF Huber, A Merentitis, R Heremans… - … and Integration for …, 2016 - ieeexplore.ieee.org
Partial occlusions, changing lighting conditions, or rapid motion of persons are some
reasons why the recognition rate of a facial recognition (FR) system can be very low. One …
reasons why the recognition rate of a facial recognition (FR) system can be very low. One …
Real-Time Scalable System For Face Tracking In Multi-Camera
MF Ozdemır, D Hanbay - Politeknik Dergisi - dergipark.org.tr
Face detection and tracking have become increasingly popular in recent years. It has critical
importance in security, defense, and robotics applications uses encountered in everyday life …
importance in security, defense, and robotics applications uses encountered in everyday life …