Monocular Object Tracking based on Corner detection

Document Type : Original Article

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Egyptian Armed Forces.

Abstract

This paper addresses corner based method for allocating the position of an object in video frames. Corners distributed inside a predefined search area used to represent the object shape .It is used to estimate the most probable target position in the next frame. Tracking is done through matching process between corner's information in current frame (candidate corner) and that in the previous frame (reference corner). Finally, an updating step for the reference corners distribution model and the predefined search area position is carried out for the next frame. The proposed technique has shown a very good performance when applied to real captured videos frames. The calculated errors in the locations of the moving object were never more than 8 pixels.

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