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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 6, JUNE 2018

A Survey on Object Detection Methodologies

Meenakshi Chandak, Dr. A. S. Ghotkar

DOI: 10.17148/IJARCCE.2018.7616

Abstract:   Visual content is becoming a major medium for social interaction on the internet, including various popular platforms like Flickr, Instagram and Facebook. Increased attention has been obtained by the visual sentiment analysis due to the rapidly grown number of images in online interactions. Several applications such as advertisement, education and entertainment emerged because of the development in this field. Most work reported in the literature focuses on competent techniques for object recognition and its applications. This paper includes various approaches that have been used by different researchers for object detection.



Keywords: Visual Content, Computer Vision, Social Multimedia, Object Detection.

How to Cite:

[1] Meenakshi Chandak, Dr. A. S. Ghotkar, “A Survey on Object Detection Methodologies,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7616