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		<Title>A REVIEW ON OBJECT TRACKING USING PYTHON</Title>
		<Author>Sk.Mumtaj, Dr G.Vijaya Kumar</Author>
		<Volume>03</Volume>
		<Issue>06</Issue>
		<Abstract>OpenCV object tracking is a widely used technique in the field A variety of object trackingspecific features are already incorporated into OpenCV MediandFlow and MIL are some of the object trackers in OpenCV Tracks the path taken by an object in a movie using an Object Tracking System Were detecting objects in movies and webcam images with Python and the OPENCV module in this project Browse system videos and Start webcam video tracking are two modules included in this application Working with methods such as frame differencing colorspace transformation background separation optical flow and a classifier based on the Haar cascade the project entails implementing numerous object recognition and tracking techniques in video These approaches include 1 Besides these methods a widely used and highly effective edge detection method is also used Python is used for all of the implementations The results are extensive and they are thoroughly evaluated</Abstract>
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<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
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