Real-time object recognition using mobile devices

Nuno Manuel Robalo Correia

doi:10.1145/2037373.2037485

Real-time object recognition using mobile devices

Nuno Manuel Robalo Correia

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

2 Citations (Scopus)

Abstract

This paper proposes an application for real-time object recognition using mobile devices that runs locally without the need to communicate with a server. Both object detection and identification algorithms are performed by the mobile device avoiding the communication with the server. The paper presents results that show the effectiveness of the proposal.

Original language	Unknown
Title of host publication	None
Pages	687-690
DOIs	https://doi.org/10.1145/2037373.2037485
Publication status	Published - 1 Jan 2011
Event	Mobile HCI - Duration: 1 Jan 2011 → …

Conference

Conference	Mobile HCI
Period	1/01/11 → …

Access to Document

10.1145/2037373.2037485

Cite this

@inproceedings{68ab0118bf6c495c860a38ef32423d82,

title = "Real-time object recognition using mobile devices",

abstract = "This paper proposes an application for real-time object recognition using mobile devices that runs locally without the need to communicate with a server. Both object detection and identification algorithms are performed by the mobile device avoiding the communication with the server. The paper presents results that show the effectiveness of the proposal.",

author = "Correia, {Nuno Manuel Robalo}",

year = "2011",

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day = "1",

doi = "10.1145/2037373.2037485",

language = "Unknown",

isbn = "978-1-4503-0541-9",

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note = "Mobile HCI ; Conference date: 01-01-2011",

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AB - This paper proposes an application for real-time object recognition using mobile devices that runs locally without the need to communicate with a server. Both object detection and identification algorithms are performed by the mobile device avoiding the communication with the server. The paper presents results that show the effectiveness of the proposal.

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DO - 10.1145/2037373.2037485

M3 - Conference contribution

SN - 978-1-4503-0541-9

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EP - 690

BT - None

T2 - Mobile HCI

Y2 - 1 January 2011

ER -