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pro vyhledávání: '"Alexander M. Morison"'
Autor:
Alexander M. Morison, David D. Woods
Publikováno v:
Informatics, Vol 3, Iss 3, p 16 (2016)
Vehicles and platforms with multiple sensors connect people in multiple roles with different responsibilities to scenes of interest. For many of these human–sensor systems there are a variety of algorithms that transform, select, and filter the sen
Externí odkaz:
https://doaj.org/article/59fe4c3c6de74f54b6f3687c2025bd51
Autor:
Michael F. Rayo, Stoney A. Trent, Emilie Roth, Daniel J. Zelik, Alexander M. Morison, Discussants: Michael F. Rayo
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:259-262
Although the majority of effort in Artificial Intelligence (AI) ideation, design, and development seeks to optimize the AI as the primary method of optimizing overall system performance, the evidence is clear that for risk-critical work in high-compl
Autor:
Alexander M. Morison, Daniel Roberts
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57:250-254
Computational models of attention can be used to mitigate data overload especially when multiple sensors provide feeds to a human observer who is not present in the same environment as the network of sensors. Computational models of attention use a v
Autor:
Taylor Murphy, Alexander M. Morison
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319395098
HCI (1)
HCI (1)
A person's ability to perceive and act fluently in a remote environment through teleoperation of a robotic platform is clearly limited when compared to acting directly in an immediate environment. Despite the contrast between teleoperation and direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bc5f848eb99428eaa9617f1eef4b57e
https://doi.org/10.1007/978-3-319-39510-4_34
https://doi.org/10.1007/978-3-319-39510-4_34
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53:1136-1140
In video-based surveillance people monitor a wide spatial area through video sensors for anomalous events related to safety and security. The size of the area, the number of video sensors, and the camera's narrow field-of-view make this a challenging
Autor:
Mark W. Scerbo, James L. Szalma, David D. Woods, Alexander M. Morison, Raja Parasuraman, Peter A. Hancock, Taylor Murphy, Robert R. Hoffman
Publikováno v:
The Cambridge Handbook of Applied Perception Research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0a092fa10567840b3a170717c179506
https://doi.org/10.1017/cbo9780511973017.051
https://doi.org/10.1017/cbo9780511973017.051
Publikováno v:
Machine Vision and Applications. 18:41-64
In current video surveillance systems, commercial pan/tilt/zoom (PTZ) cameras typically provide naive (or no) automatic scanning functionality to move a camera across its complete viewable field. However, the lack of scene-specific information inhere
Autor:
Klaus Christoffersen, Patrick Maughan, Stephanie McNee, James W. Davis, Alexander M. Morison, David D. Woods
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49:302-306
Advances in remote sensing systems provide human monitors access to more data. The current challenge is to help extract relevant patterns and direct the attention of human monitors and human problem holders to the changing security picture with respe
Autor:
Taylor Murphy, Alexander M. Morison
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60:1610-1611
Tele-operated sensor-robot systems consist of sensors on a robotic platform present in some location with a human operator located somewhere outside the scene of interest. One common theme from observing operators of these systems in the field is tha
Publikováno v:
WACV
We address the limited automatic scanning functionality of standard PTZ camera systems. We present an adaptive, scene-specific model using standard PTZ camera hardware. The adaptive model is constructed automatically by detecting human activity in mo