Accurate deep net crowd counting for smart IoT video acquisition devices

Anish Khadka; Vasileios Argyriou; Paolo Remagnino

doi:10.1109/DCOSS49796.2020.00049

Accurate deep net crowd counting for smart IoT video acquisition devices

Anish Khadka
, Vasileios Argyriou
, Paolo Remagnino

Kingston University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published in: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), ISBN: 9781728198040, ISSN: 2325-2936 Organising Body: IEEE Organising Body: IEEE
Pages	260-264
DOIs	https://doi.org/10.1109/DCOSS49796.2020.00049
Publication status	Published - 2020

Bibliographical note

Note: Published in: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), ISBN: 9781728198040, ISSN: 2325-2936

Organising Body: IEEE

Organising Body: IEEE

Keywords

Computer science and informatics

Access to Document

10.1109/DCOSS49796.2020.00049

https://doi.org/10.1109/DCOSS49796.2020.00049

Accurate deep net crowd counting for smart IoT video acquisition devices
Khadka, A., Argyriou, V. & Remagnino, P., 2020.
Research output: Contribution to conference › Paper › peer-review

Cite this

Khadka, A., Argyriou, V., & Remagnino, P. (2020). Accurate deep net crowd counting for smart IoT video acquisition devices. In Published in: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), ISBN: 9781728198040, ISSN: 2325-2936 Organising Body: IEEE Organising Body: IEEE (pp. 260-264) https://doi.org/10.1109/DCOSS49796.2020.00049

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title = "Accurate deep net crowd counting for smart IoT video acquisition devices",

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Accurate deep net crowd counting for smart IoT video acquisition devices. / Khadka, Anish; Argyriou, Vasileios; Remagnino, Paolo.
Published in: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), ISBN: 9781728198040, ISSN: 2325-2936 Organising Body: IEEE Organising Body: IEEE. 2020. p. 260-264.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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