A Survey on Object Detection Techniques in Image
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.
" A Survey on Object Detection Techniques in Image", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.a483-a490, October-2024, Available :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: 00028
Research Area: Others area
Country: East champaran, Bihar, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
