Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments

Nathanael L. Baisa, Deepayan Bhowmik, Andrew Wallace

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

9 Downloads (Pure)

Original language	English
Journal	Journal of Visual Communication and Image Representation
Early online date	7 Jul 2018
DOIs	https://doi.org/10.1016/j.jvcir.2018.06.027
Publication status	E-pub ahead of print - 7 Jul 2018

Access to Document

Download pdf
© 2018 Elsevier B.V.
Accepted author manuscript, 5.41 MBLicence: CC BY-NC-ND

@article{e58c19a2fd514c3fad1fdcf7daa55fa0,

title = "Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments",

author = "Baisa, {Nathanael L.} and Deepayan Bhowmik and Andrew Wallace",

year = "2018",

month = jul,

day = "7",

doi = "10.1016/j.jvcir.2018.06.027",

language = "English",

journal = "Journal of Visual Communication and Image Representation",

issn = "1047-3203",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments

AU - Baisa, Nathanael L.

AU - Bhowmik, Deepayan

AU - Wallace, Andrew

PY - 2018/7/7

Y1 - 2018/7/7

U2 - 10.1016/j.jvcir.2018.06.027

DO - 10.1016/j.jvcir.2018.06.027

M3 - Article

JO - Journal of Visual Communication and Image Representation

JF - Journal of Visual Communication and Image Representation

SN - 1047-3203

ER -