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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005046

Page Number

308-312

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Title

MOVING OBJECT DETECTION USING DEEP LEARNING

ISSN

2349-5162

Cite This Article

"MOVING OBJECT DETECTION USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.308-312, May-2020, Available :http://www.jetir.org/papers/JETIR2005046.pdf

Abstract

The main task of Motion based object tracking is recognizing the physical movement of associated video degree in particular objects in given video frames. Object detection is major done with numerous techniques, significantly object detectors and background subtraction ways. However, the task of the detective work in actual of an object having motion becomes deceitful because of several problems: illumination variations, camouflage downside, the presence of shadow lightweight, and dynamic scene changes. Unwanted motion removal is completed within the background by Noise filtering that opens an entry to attain the binary picture. There are some uneven boundaries in threshold image which are corrected by morphological operations. The paper presents a survey of assorted techniques associated with motion- based detection and mentioned is the improvement methodologies which will cause improved object detection.

Key Words

Deep Learning, Moving object Detection, Classification.

Cite This Article

"MOVING OBJECT DETECTION USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp308-312, May-2020, Available at : http://www.jetir.org/papers/JETIR2005046.pdf

Publication Details

Published Paper ID: JETIR2005046
Registration ID: 231453
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 308-312
ISSN Number: 2349-5162

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Cite This Article

"MOVING OBJECT DETECTION USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp308-312, May-2020, Available at : http://www.jetir.org/papers/JETIR2005046.pdf




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