Detecting, modeling and tracking of a short-term mutual awareness activity

Meir Cohen; Ehud Rivlin; Ilan Shimshoni

doi:10.1109/EEEI.2014.7005838

Detecting, modeling and tracking of a short-term mutual awareness activity

Meir Cohen
, Ehud Rivlin
, Ilan Shimshoni

Department of Information Systems

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

Abstract

It is quite common that multiple human observers are attending to a single point-of-interest. Mutual awareness activity (MAWA) refers to the dynamic of this social phenomena. A preferred way to monitor this social phenomenon is with a camera that captures the human observers. The current work studies the short-term dynamics of a MAWA. A fully unsupervised online method is suggested that can deal with the general case of an uncalibrated camera in a general environment and an unconstrained activity in the scene. This is in contrast to other work on similar problems that inherently assume a known environment or a calibrated camera or a restricted activity in the scene. The method was tested on a short video and robustly detected the MAWA and estimated its related attributes. A correlation between the attributes of the detected MAWA and the environment's events was used to evaluate the method.

Original language	English
Title of host publication	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959877
DOIs	https://doi.org/10.1109/EEEI.2014.7005838
State	Published - 2014
Event	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel Duration: 3 Dec 2014 → 5 Dec 2014

Publication series

Name	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/Territory	Israel
City	Eilat
Period	3/12/14 → 5/12/14

Bibliographical note

Publisher Copyright:
© Copyright 2015 IEEE All rights reserved.

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2014.7005838

Cite this

Cohen, M., Rivlin, E., & Shimshoni, I. (2014). Detecting, modeling and tracking of a short-term mutual awareness activity. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 Article 7005838 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEI.2014.7005838

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title = "Detecting, modeling and tracking of a short-term mutual awareness activity",

abstract = "It is quite common that multiple human observers are attending to a single point-of-interest. Mutual awareness activity (MAWA) refers to the dynamic of this social phenomena. A preferred way to monitor this social phenomenon is with a camera that captures the human observers. The current work studies the short-term dynamics of a MAWA. A fully unsupervised online method is suggested that can deal with the general case of an uncalibrated camera in a general environment and an unconstrained activity in the scene. This is in contrast to other work on similar problems that inherently assume a known environment or a calibrated camera or a restricted activity in the scene. The method was tested on a short video and robustly detected the MAWA and estimated its related attributes. A correlation between the attributes of the detected MAWA and the environment's events was used to evaluate the method.",

author = "Meir Cohen and Ehud Rivlin and Ilan Shimshoni",

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year = "2014",

doi = "10.1109/EEEI.2014.7005838",

language = "English",

series = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",

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Cohen, M, Rivlin, E & Shimshoni, I 2014, Detecting, modeling and tracking of a short-term mutual awareness activity. in 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014., 7005838, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Institute of Electrical and Electronics Engineers Inc., 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Eilat, Israel, 3/12/14. https://doi.org/10.1109/EEEI.2014.7005838

Detecting, modeling and tracking of a short-term mutual awareness activity. / Cohen, Meir; Rivlin, Ehud; Shimshoni, Ilan.
2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7005838 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

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

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AB - It is quite common that multiple human observers are attending to a single point-of-interest. Mutual awareness activity (MAWA) refers to the dynamic of this social phenomena. A preferred way to monitor this social phenomenon is with a camera that captures the human observers. The current work studies the short-term dynamics of a MAWA. A fully unsupervised online method is suggested that can deal with the general case of an uncalibrated camera in a general environment and an unconstrained activity in the scene. This is in contrast to other work on similar problems that inherently assume a known environment or a calibrated camera or a restricted activity in the scene. The method was tested on a short video and robustly detected the MAWA and estimated its related attributes. A correlation between the attributes of the detected MAWA and the environment's events was used to evaluate the method.

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BT - 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

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Cohen M, Rivlin E, Shimshoni I. Detecting, modeling and tracking of a short-term mutual awareness activity. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7005838. (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). doi: 10.1109/EEEI.2014.7005838

Detecting, modeling and tracking of a short-term mutual awareness activity

Abstract

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Bibliographical note

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