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HYBRID APPROACH FOR SEMANTIC OBJECT DETECTION IN VIDEO


Author(s):

Renugadevi.R , sri vidya college of engineering and technology; Murugeswari.P, sri vidya college of engineering and technology

Keywords:

Surveillance, Background subtraction, Thresholding operation and Morphological operation

Abstract:

Object detection is the process of finding moving objects such as human beings, animals and vehicles in videos. Object detection algorithms typically use extracted features and learning algorithms to recognize instances of an objects. It is commonly used in applications such as security, automated vehicle parking systems, surveillance, and image retrieval . Object detection has applications in many areas of computer vision, image retrieval and video surveillance. The input video is converted into frames. The frames were preprocessed to remove the noises from the frames. The objects are detected from the frames by initially identifying the object regions by applying Background subtraction. The thresholding operation and morphological operations were applied to extract the object alone. The obtained object pixels were then grouped and the identified positions were then represented in different color inorder to obtain them exactly.


Other Details:

Manuscript Id :IJSTEV1I5036
Published in :Volume : 1, Issue : 5
Publication Date: 01/12/2014
Page(s): 25-28
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