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

Meir Cohen, Ehud Rivlin, Ilan Shimshoni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959877
DOIs
StatePublished - 2014
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

Bibliographical note

Publisher Copyright:
© Copyright 2015 IEEE All rights reserved.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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