Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deep Learning Enabled Object Detection and Tracking Model for Big Data Environment Subject The topic of the resource convolutional neural network; image annotation; inception v2; Object detection; tracking Description An account of the resource Recently, big data becomes evitable due to massive increase in the generation of data in real time application. Presently, object detection and tracking applications becomes popular among research communities and finds useful in different applications namely vehicle navigation, augmented reality, surveillance, etc. This paper introduces an effective deep learning based object tracker using Automated Image Annotation with Inception v2 based Faster RCNN (AIA-IFRCNN) model in big data environment. The AIA-IFRCNN model annotates the images by Discriminative Correlation Filter (DCF) with Channel and Spatial Reliability tracker (CSR), named DCF-CSRT model. The AIA-IFRCNN technique employs Faster RCNN for object detection and tracking, which comprises region proposal network (RPN) and Fast R-CNN. In addition, inception v2 model is applied as a shared convolution neural network (CNN) to generate the feature map. Lastly, softmax layer is applied to perform classification task. The effectiveness of the AIA-IFRCNN method undergoes experimentation against a benchmark dataset and the results are assessed under diverse aspects with maximum detection accuracy of 97.77%. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Vijaya Kumar K.; Laxmi Lydia E.; Dutta A.K.; Parvathy V.S.; Ramasamy G.; Pustokhina I.V.; Pustokhin D.A. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-73, No. 2, pp. 2541-2554. Publisher An entity responsible for making the resource available Tech Science Press Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.32604/cmc.2022.028570" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.028570</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132113177&amp;doi=10.32604%2Fcmc.2022.028570&amp;partnerID=40&amp;md5=755701ef1b5649ab84c659cbdbe93c0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132113177&amp;doi=10.32604%2fcmc.2022.028570&amp;partnerID=40&amp;md5=755701ef1b5649ab84c659cbdbe93c0a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15462218 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vijaya Kumar K., Department of Computer Science and Engineering, Vignan's Institute of Engineering for Women, Visakhapatnam, 530049, India; Laxmi Lydia E., Department of Computer Science and Engineering, Vignan's Institute of Information Technology, Visakhapatnam, 530049, India; Dutta A.K., Department of Computer Science and Information System, College of Applied Sciences, AlMaarefa University, Riyadh, 11597, Saudi Arabia; Parvathy V.S., Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Tamilnadu, Krishnankoil, 626126, India; Ramasamy G., Department of Computer Science, Christ University, Bangalore, 560029, India; Pustokhina I.V., Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, Moscow, 117997, Russian Federation; Pustokhin D.A., Department of Logistics, State University of Management, Moscow, 109542, Russian Federation