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Title: AUTOMATED VIDEO SURVEILLANCE FOR UNATTENDED OBJECT

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Title:
AUTOMATED VIDEO SURVEILLANCE FOR UNATTENDED OBJECT
Author Name:
Prof. K. S. Sawant, Pavithra Balakrishnan, Aakanksha Kodgire, Amrap
Abstract:
In this paper, we propose a new design and implementation method in supporting a smart surveillance system that can automatically detect abandoned objects in public places such as bus stations, train stations or airports, etc. The developing system is implemented by using image processing techniques. In the circumstance such as when suspicious objects i.e. unattended objects have been detected, the system will alert to people responsible for the role such as security guards or security staff. In this paper, we also differentiate between the stationary objects and the objects that are in motion. The detection process consists of four major components: 1) Image extraction from live video feed 2) Image Processing 3) Object Detection and 4) Result Presentation. In this paper we put our attention into background subtraction algorithm for detection of object in low quality video i.e. improve accuracy. Experimental results show that the fusion based approach increases the detection reliability as compared to the detectors and performs considerably well across a variety of multiple scenarios operating at real time.
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