SYSTEMATIC STUDY ON OBJECT DETECTION IN CLUTTERED ENVIRONMENT USING SIFT ALGORITHMJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 4)
Publication Date: 2016-04-30
Authors : Sonam Soni; Raman Chadha; Aarti Soni;
Page : 422-427
Keywords : Detection; Feature Extraction; Target Image; Reference Image; SIFT Operations;
Detection of objects in cluttered scenes is a basic challenge that has only recently been widely undertaken by computer vision systems. This paper proposes a novel method how to detect a particular object in cluttered scenes, given a reference image of the object. This paper presents an algorithm for detecting a specific object based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to small amount of out-of-plane rotation. The detailed procedures are implemented using MATLAB.
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