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Proceedings ArticleDOI

Intelligent embedded video monitoring system for home surveillance

Virendra, +2 more
- Vol. 2016, pp 1-4
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TLDR
A monitoring system which includes motion detection algorithm is implemented along with some alarming features and IOT based image processing unit with internet connectivity so that data can be transferred to any remote server for example Cloud.
Abstract
Since few years there is tremendous growth in the research of surveillance system especially in computer vision based surveillance system. This paper proposes a monitoring system which includes motion detection algorithm is implemented along with some alarming features. The system proposed in this paper is IOT based image processing unit with internet connectivity so that data can be transferred to any remote server for example Cloud. The motion detection feature of a system provides necessary isolation of most significant video clips that eliminates time consuming reviewing process required in normal video surveillance system. The main idea behind this system is to detect the presence of any moving object especially a human and then start recording a video from the motion is detected. The video clip can be stored locally as well as uploaded to cloud server so that it can be viewed from anywhere in the world and necessary alarms then generated by the system. There are several micro controllers are available that can be interfaced along with digital camera to achieve this goal.

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Citations
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Towards the internet of agents: an analysis of the internet of things from the intelligence and autonomy perspective

TL;DR: An analysis of the main benefits derived from the use of the IoA approach, based on a practical point of view regarding the necessities that humans demand in their daily life and work, which can be solved by IoT networks modeled as IoA infrastructures.
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Design of a Two-Tier WSN-based IoT Surveillance System with Cloud Integration

TL;DR: This work overcomes the challenge of cost and network data loss by proposing a low-cost solution were each node in the WSN fuses data from both fire and motion sensors in a fuzzy logic decision system to evaluate the criticality of the event detected.
Journal Article

Foreground Object Motion Detection by Background Subtraction and Signalling Using GSM

TL;DR: In this paper, a self-adapting, automatic updating background model is trained to adapt the slow and slight changes of the environment, which can also be applied for external environmental video surveillance.
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A study on implementation of real-time intelligent video surveillance system based on embedded module

TL;DR: In this paper, an intelligent video surveillance system based on embedded modules for information learning, fire detection based on color and motion information, and detection of loitering and fall based on human body motion is proposed.
References
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Proceedings ArticleDOI

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TL;DR: This paper aims to describe a security alarm system using low processing power chips using Internet of things which helps to monitor and get alarms when motion is detected and sends photos and videos to a cloud server.
Proceedings ArticleDOI

Design and Implementation of a Real Time Video Surveillance System with Wireless Sensor Networks

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Proceedings ArticleDOI

Low cost real-time system monitoring using Raspberry Pi

TL;DR: The design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment, to significantly decrease storage usage and save investment costs are described.
Proceedings ArticleDOI

Motion detection for video surveillance

TL;DR: A new algorithm for MOtion DEtection (MODE) which is independent of illumination variations, bootstrapping, dynamic variations and noise problems, and proved to outperform other state-of-art motion detection techniques.
Proceedings ArticleDOI

Design and Evaluation of Remote Video Surveillance System on Private Cloud

TL;DR: A novel remote display solution that allows remote surveillance users to watch real-time surveillance video, to use surveillance software and to share screen updates among users on remote desktop is proposed.