Deep learning in video multi-object tracking: A survey

Gioele Ciaparrone; Francisco Luque Sánchez; Siham Tabik; Luigi Troiano; Roberto Tagliaferri; Francisco Herrera

doi:10.1016/j.neucom.2019.11.023

Deep learning in video multi-object tracking: A survey

Gioele Ciaparrone (University of Salerno) iD Francisco Luque Sánchez (Universidad de Granada) iD Siham Tabik (Universidad de Granada) iD Luigi Troiano (University of Sannio) iD Roberto Tagliaferri (University of Salerno) iD Francisco Herrera (Universidad de Granada) iD

Journal: Neurocomputing • 2019-11-19 • Elsevier BV • ISSN: 0925-2312

Abstract

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Subjects & Keywords

# Video Surveillance and Tracking Methods # Computer Science # Autonomous Vehicle Technology and Safety # Engineering # Advanced Neural Network Applications

How to Cite this Article

                    Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, et al. (2019). "Deep learning in video multi-object tracking: A survey". Neurocomputing. https://doi.org/10.1016/j.neucom.2019.11.023                

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Identifiers & Provenance

DOI: https://doi.org/10.1016/j.neucom.2019.11.023 ↗
OpenAlex: W2966535964 ↗
Primary Index: OPENALEX