Object Detection in Images: A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Review Papers | Computer Science & Engineering | India | Volume 12 Issue 4, April 2023 | Popularity: 5.3 / 10


     

Object Detection in Images: A Survey

Sabyasachi Moitra, Sambhunath Biswas


Abstract: Object detection in a static or dynamic scene, such as a video, is a well-known problem in the computer or machine vision community. Some techniques have already been developed so far. Such detected objects have applications in many different areas. The literature in this domain is vast; as a result it is really very difficult for a beginner to work in this domain. A guideline, therefore, is very helpful, particularly to the young researchers working in the area of computer vision. We have therefore felt the need of a review in this domain. With this objective in mind, we have written this article. We have studied some major existing state-of-the-art object detection methods and chronologically summarize each of them. Each summarization narrates a detailed description on motivation, work description, merits and demerits, followed by some discussion.


Keywords: Computer vision, Convolutional neural network, Deep learning, Image classification, Image localization, Object detection


Edition: Volume 12 Issue 4, April 2023


Pages: 10 - 29


DOI: https://www.doi.org/10.21275/SR23330184650



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Sabyasachi Moitra, Sambhunath Biswas, "Object Detection in Images: A Survey", International Journal of Science and Research (IJSR), Volume 12 Issue 4, April 2023, pp. 10-29, https://www.ijsr.net/getabstract.php?paperid=SR23330184650, DOI: https://www.doi.org/10.21275/SR23330184650

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