Object Detection Using Semantic Segmentation with Fisher Vector

SUDHIN S; JAYALAKSHMI D.S; VEENA G.S P.G Student; Computer-science Department; M.S.Ramaiah Institute of Technology; Bangalore; India Associate Professor; Computer-science Department; M.S.Ramaiah Institute of Technology; Bangalore; India Assistant Professor; Computer-science Department; M.S.Ramaiah Institute of Technology; Bangalore; India

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Object Detection Using Semantic Segmentation with Fisher Vector

SUDHIN S, JAYALAKSHMI D.S, VEENA G.S P.G Student, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Assistant Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India

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Abstract: Image processing is an aspect of computer-science wherein one of the fundamental problems is that of object detection for a given set of images. There are number of existing works which are used for object detection using different methodology. Here in this work a method of segmentation using semantic rules along with feature extraction procedure is used. A separate training and testing phase is carried out wherein during training phase the SVM is trained for the images from the dataset and similarly in testing phase a test image is tested so as to determine the object of interest for given image. In order to detect the object more accurately semantic rules are applied both during training and testing stages

Keywords: Segmentation, Semantic rules, Feature Extraction, SVM

How to Cite:

[1] SUDHIN S, JAYALAKSHMI D.S, VEENA G.S P.G Student, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Assistant Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India, “Object Detection Using Semantic Segmentation with Fisher Vector,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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