AN IMPROVED FOREGROUND EXTRACTION TECHNIQUE IN VIDEO SURVEILLANCE SYSTEMS

Authors

  • Anjanadevi B, S Nagakishore Bhavanam, E Srinivasa Reddy

Abstract

In the current era, computer vision playing a major role in emerging research field. Mainly video surveillance systems generate huge size of data in every second. Through Video surveillance systems it is important to detect objects in order to identify the activities in the areas like tourism places, parking lots, shopping malls, highway road lines etc. In order to find the deeper insights through video surveillance cameras, it is essential to develop a system which can handle the challenges like camera Jitter, dynamic background, illumination mutations, noisy videos, shadow appeared scenes, swaying trees, camouflage, PTZ lighting camera screens etc. In order to identify the people and objects, it is essential to extract foreground while subtracting background. somehow reasonable work has been done using background subtraction which handles only few of these challenges commonly illumination variations and also various algorithms have been developed in these systems but most of them are limited in handling of static camera screens, In this paper, proposed model handles all these challenges with accurate results. Proposed model (Improved Background Subtraction - IBS method)  is outperformed in handling of these challenging conditions. This methodology is more efficient in real time video surveillance applications in order to find the relevant objects used to track these objects in right path ways

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Published

2021-02-09

How to Cite

Anjanadevi B, S Nagakishore Bhavanam, E Srinivasa Reddy. (2021). AN IMPROVED FOREGROUND EXTRACTION TECHNIQUE IN VIDEO SURVEILLANCE SYSTEMS. International Journal of Modern Agriculture, 10(1), 10-20. Retrieved from http://modern-journals.com/index.php/ijma/article/view/431

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Articles