Journals Proceedings

International Journal of Advances in Computer Science and Its Applications

Detection and Classification of a Moving Object in a Video Stream



In this paper we present a new method for detecting and classifying moving objects into humans and vehicles from a video surveillance scene. In this approach, the moving objects are firstly detected from the background using a background subtraction technique. Background subtraction algorithms are implemented in a MATLAB environment. A comparison for all the algorithms was made to determine which background subtraction algorithm performs better with the proposed classifying algorithm. The algorithms were then tested using more than a video and many frames of the video was tested. Secondly, edge detection of moving objects was performed using Canny or Prewitt operations, while bounding boxes were implemented over the moving objects. Edge detection and bounding boxes were used before the classification step to simplify the classification.

No fo Author(s) : 2
Page(s) : 60 - 65
Electronic ISSN : 2250 - 3765
Volume 4 : Issue 2
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