Deep learning in object detection: A review

Katleho L. Masita, Ali N. Hasan, Thokozani Shongwe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

52 Citations (Scopus)

Abstract

Object detection continues to playa significant part in computer vision theory, study and practical application. Conventional object detection algorithms were primarily derived from machine learning. This involved the design of features for describing the object's characteristics followed by an integration with classifiers. In recent years, the application of deep learning (DL), and more specifically Convolutional Neural Networks (CNN) have elicited a great advancement and promising progress, and has therefore, received much attention on the global stage of research about computer vision. This paper conducts a review about some of the most important and recent developments and contributions that have been made towards research in the use of deep learning in object detection. Moreover, as evidently demonstrated, the findings of numerous studies suggest that the application of deep learning in object detection much surpasses conventional approaches focused on handcrafted and learned features.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
EditorsSameerchand Pudaruth, Upasana Singh
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728167701
DOIs
Publication statusPublished - Aug 2020
Event2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa
Duration: 6 Aug 20207 Aug 2020

Publication series

Name2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

Conference

Conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
Country/TerritorySouth Africa
CityDurban, KwaZulu Natal
Period6/08/207/08/20

Keywords

  • Convolutional neural networks
  • Deep learning
  • Machine learning
  • Object detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems and Management

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