A Survey on Object Detection Techniques in Image

Registration ID: IJNRD_300988

Published ID: IJNRD2410051

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Jyoti Kumari

Object Detection, Convolutional Neural Network.

Comparatively speaking to humans, computers struggle with the process of object detection and recognition. An object detection system finds objects of the real world present either in a digital image or a video, where the object can belong to any class of objects namely humans, cars, etc. This paper presents a review of the various techniques that are used to detect an object, localise an object, categorise an object, extract features in images and videos. The comments are drawn based on the studied literature. This paper is suitable for the researchers who are the beginners in this domain. Decision making tips are included with extensive discussion of the advantage & disadvantage of each technique. The survey presented in this paper can be useful as a quick overview and a beginner’s guide for the object detection field. Based on the study presented here, researchers can choose a specific object detection problems for better accuracy in object detection.

Published Paper   E-Certificate

Jyoti Kumari (October-2024). A Survey on Object Detection Techniques in Image. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(10), a483-a490. https://ijnrd.org/papers/IJNRD2410051.pdf

Volume 9 Issue 10, October-2024

Pages : a483-a490

Paper Reg. ID: IJNRD_300988

Published Paper Id: IJNRD2410051

Downloads: 000121997

Research Area: Others area

Author Type: Indian Author

Country: East champaran, Bihar, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410051.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410051

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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