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2025 | OriginalPaper | Chapter

Object Counting from Images Using Deep Learning Technique

Authors : Arishpreet Kour Bali, Amit Kumar

Published in: Innovative Computing and Communications

Publisher: Springer Nature Singapore

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Abstract

This article gives an overview of object counting problem and its usage. It also describes various ways of counting objects from still images and video streams. Object counting is an important task in machine learning. It helps to identify objects in an image, so that the number of objects can be determined. However, there are many challenges when it comes to object counting using deep learning techniques such as illumination, variation, occlusion, and real-time counting. We have also reviewed some of the recent papers to get an idea of current technology. At last through one example, we have discussed how object counting can be happened through deep learning techniques.

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Metadata
Title
Object Counting from Images Using Deep Learning Technique
Authors
Arishpreet Kour Bali
Amit Kumar
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Innovative Computing and Communications

Print ISBN: 978-981-9741-51-9

Electronic ISBN: 978-981-9741-52-6

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-97-4152-6_17