In this paper, we briefly summarize our video
research framework and present our current work on real-time
object tracking and motion detection. Traditional video
surveillance system consumes large amount of data. Capturing
and recording each and every data is very time consuming. Also,
viewing and retrieving such data is a big issue. To overcome
this problem we identify and record only interesting video frame
that contains motion in scene. Continuous scene monitoring
applications like ATM booths, traffic, parking system, malls,
hospitals etc. consumes large volume of data. Sometimes, due to
camera issues like low frame rate, less speed, noise, occlusion
we cannot track the object accurately. To avoid such problems,
we use movie editor in which we can edit our frame and video.
Published In : IJCAT Journal Volume 1, Issue 4
Date of Publication : 31 May 2014
Pages : 109 - 122
Figures : 08
Tables : --
Publication Link : A Comparison between Traditional Video Monitoring
System and Motion Detection Using Sad Algorithm
and Movie Editor
Priyanka Waghmare : University Dept. of Computer Science and Engineering, Nagpur Institute of Technology,
Nagpur, Maharashtra, India
Shubhangi Borkar : University Dept. of Computer Science and Engineering, Nagpur Institute of Technology,
Nagpur, Maharashtra, India
This application can be used in following fields:
Security: It can useful for security purpose in Banks,
ATMs, Malls etc.
Hospitals: Mainly in the field of psychiatry, where there is
continuous need of monitoring of behavior of patients.
Offices: To monitor the employees and their actions.
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