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A Review of Detector Descriptors on Object Tracking

S.Khachikian, M.Emadi

The objective here is to present a briefing on the methods and algorithms presented in the field of identifiers and descriptors of key point areas and the manner of obtaining various indicators in order to comply and track the selected objects, compare and reveal their advantages and disadvantages in 2D features in recent decades. Feature detection methods subject to study in this article consist of:Scale-Invariant Feature; Maximally Stable Extremal Regions; Speeded up Robust Features; Features from Accelerated Segment Test; Binary Robust Independent Elementary Features; Efficient Dense Descriptor Applied to Wide-Baseline Stereo; Binary Robust Invariant Scalable Key points; Oriented Binary Robust Independent Elementary Features and Fast Retina Key point.