This paper is published in Volume-5, Issue-3, 2019
Area
Image Processing
Author
Ronak Mehta, Saket Marodia, Pratik, Dr. Gowrishankar
Org/Univ
BMS College of Engineering, Bangalore, Karnataka, India
Pub. Date
22 May, 2019
Paper ID
V5I3-1553
Publisher
Keywords
Video surveillance, Automated video surveillance system, Motion detection, Advanced image processing

Citationsacebook

IEEE
Ronak Mehta, Saket Marodia, Pratik, Dr. Gowrishankar. Human motion detection and notification system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ronak Mehta, Saket Marodia, Pratik, Dr. Gowrishankar (2019). Human motion detection and notification system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Ronak Mehta, Saket Marodia, Pratik, Dr. Gowrishankar. "Human motion detection and notification system." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Video surveillance has become an important tool for organizations for maintaining its security and safety applications. This science has been evolving ever since. These systems are very important and find its applications finance, banks, and home. Traditional video surveillance will typically succeed close distance observance. Digital surveillance systems are replacing analog cameras which use coaxial cable for cost and performance reasons. The motion detector can capture any object moving in its surrounding area and continuously monitor the area for any changes. Security is a primary concern, and CCTV or security guards can be expensive. In this age of technology, we can use much cheaper alternatives for security monitoring. Automated Video Surveillance System has been developed to detect the motion in a live video stream environment. The System proposed is a software module that can be used in with any kind of camera or computer system. With this, any unlawful intrusion can be detected and notified. Motion Detection continuously scans a particular area for any presence of motion. It makes use of advance image processing and video processing for this purpose. The system acquires the video footage and does a real-time frame by frame analysis. Every frame is processed to find the details about the surrounding. This detail is then used to add details to the video footage through video processing.