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