Real-Time Human Detection Using Spherical Camera for Web Browser-Based Telecommunications

2021 ◽  
Author(s):  
Kazuma Hayashida ◽  
Junya Masuda ◽  
Shohei Yokoyama
Keyword(s):  
Real Time ◽  
Human Detection ◽  
Web Browser ◽  
Spherical Camera

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Dynamic Dual-Peak Network: A real-time human detection network in crowded scenes

2021 ◽  
pp. 103195
Author(s):  
Yefan Xie ◽  
Jiangbin Zheng ◽  
Xuan Hou ◽  
Yue Xi ◽  
Fengming Tian
Keyword(s):  
Real Time ◽  
Human Detection ◽  
Crowded Scenes

scholarly journals Real-time Communication With Health Care Providers Through an Online Respiratory Pathogen Laboratory Report

2018 ◽  
Vol 5 (12) ◽  
Author(s):  
Paul A Christensen ◽  
Randall J Olsen ◽  
Katherine K Perez ◽  
Patricia L Cernoch ◽  
S Wesley Long
Keyword(s):  
Real Time ◽  
Health Care Providers ◽  
Influenza Season ◽  
Respiratory Pathogen ◽  
Observation Data ◽  
Care Providers ◽  
Laboratory Observation ◽  
Web Browser ◽  
Hospital System ◽  
Laboratory Report

Abstract We implemented a real-time report to distribute respiratory pathogen data for our 8-hospital system to anyone with an Internet connection and a web browser. Real-time access to accurate regional laboratory observation data during an epidemic influenza season can guide diagnostic and therapeutic strategies.

scholarly journals Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN

2018 ◽  
Author(s):  
Seyed Yahya Nikouei ◽  
Yu Chen ◽  
Sejun Song ◽  
Ronghua Xu ◽  
Baek-Young Choi ◽  
...  
Keyword(s):  
Real Time ◽  
Human Detection

Real-Time Human Detection Based on the Improved Local Binary Pattern

2014 ◽  
Vol 1044-1045 ◽  
pp. 1246-1250
Author(s):  
Dong Mei Wu ◽  
Xing Ma ◽  
Jing Wang ◽  
Hao Zhang
Keyword(s):  
Real Time ◽  
Local Binary Pattern ◽  
Human Detection ◽  
Computational Method ◽  
Detection Accuracy ◽  
Real Time System ◽  
Feature Vectors ◽  
Linear Classifier ◽  
Detection Window ◽  
Testing Speed

By analyzing the detection accuracy and the testing speed of the Local Binary Pattern. we propose an improved LBP algorithm and apply it in human detection. Through the signs of the comparisons among neighboring pixels, it will get the histogram of the detection window. Then we can encode the global contour by the distribution coefficient of the histogram. when the Linear classifier is used, we propose a fast computational method that does not need to explicitly generate feature vectors and not require feature vectors normalization. experiment shows that this method has higher efficiency and can’t reduce the accuracy, it achieves 19 fps speed and can be used in a real-time system.

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