Recognition and Tracking of Moving Objects Under Video Surveillance Using Matlab
DOI:
https://doi.org//10.32628/IJSRSET207355Keywords:
Background, Foreground, Histogram, Gray scale image, Shadow removal, Morphological operations.Abstract
Now-a-days its becoming very important to know about any information in a digital way in order to avoid crimes and mischief activites. Conventional methods that are used now do have limited advantages we have to check for every minute information in thorough way. By using this method, we need not put effort of many hours over monitors, instead it gives the complete information about what, how and when that happened over there. This method shows how to perform automatic detection and motion-based tracking of moving objects in a video from stationary camera. Detection of motion-based tracking are important components of many computer vision applications including activity recognition, traffic monitoring and automotive safety The problem of motion based object tracking can be divided into two parts:
[1]Detecting moving objects in each frame.
[2]Associating the detections corresponding to the same object over time.
For instance in a video surveillance system that aims to identify people based on their motion information, it is essential to accurately detect the moving objects and then use a robust algorithm to track them. In terms of accuracy and efficiency, the proposed method is shown to be highly accurate in determning the number of moving objects and also fast in tracking them in the scene.
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