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Real time Object Detection


Prithvi Chachra , Maharaja agrasen insitute of technology; Avinash Kumar Poddar, Maharaja agrasen insitute of technology


Color and Size Feature, Motion Detection, Optical Flow


This paper introduce a technique for automatic detecting and tracking of object using color and size of object. The goal is tracking of particular color object with specific size from a sequence of live images for use in real-time applications including surveillance, video conferencing. The main goal of video tracking is to correlate object in following sequence frame. The relationship can be especially troublesome when the objects are moving speedy with respect to the frame rate. An interchange situation that grows the unpredictability of the issue is the time when the tracking object changes orientation after eventually. For these circumstances video tracking frameworks typically utilize a movement model which depicts how the image of the target may change for distinctive conceivable movements of the object. In this paper an algorithm is developed to track the real-time moving objects in different frames of a video using color feature and motion.

Other Details

Paper ID: IJSRDV7I21006
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 1417-1419

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