Massive Sensing
[Japanese],
Research Index,
CVIM Lab,
www.kameda-lab.org
2010/08/30
Abstract
As sensors are getting smaller and cheaper, it will be
pretty easy to install a massive number of sensors everywhere
in the very near future.
However, researchers mainly have been focused on developping
the theories that maximizes the efficiency of relatively limited
number of sensors.
On the contrary, we are going to formalize a new theory
that utilizes the advantage of the massiveness of the number of
sensors and their extra-long observation (training) period.
The word "Massive Sensing" is a new phrase we have been developping.
It shows a research framework that premises a large number of sensors that are embedded in our daily environment and run for a very long period.
Pedestrian Localization by Human-borne Camera in Both Indoor and Outdoor Sceces
|
We propose a localization method in town by only a single image taken by a human-borne camera.
It could be applicable both in indoor scenes and outdoor scenes, it never needs other sensory devices.
The method is first developped to support visually impaired people.
|
Intelligent Video Processing and Human Behavior Understanding
by networked sensors
|
A method for human behavior understanding is proposed. We use
imaging sensors and microphone-arrays.
Unlike "3D scene
understanding and its filming", the knowledge of human
behavior/event will be obtained by the system automatically.
|
Monitoring Assistance for Daily Activities on Large Number of Cameras
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(Click the left image to view a large picture.)
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Similarity-Based Activity Classification on Multi-Modal Sensors
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(Click the left image to view a large picture.)
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Self-Calibration of Cameras without Referring Points
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(Click the left image to view a large picture.)
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Sound Source Localization on Un-Calibrated Microphones
|
(Click the left image to view a large picture.)
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Publication
Please check related papers/artcles in the list.
Join us!
We welcome researchers/students who are interested in this topic
and think to join our research projects.
Discussions and brainstormings are also welcomed.
[2008/02/29]
- Grad students
This project is being conducted in
CVIM Lab of
University of Tsukuba. Please contact
Kameda.
- Company / Research Organization
Please contact
Kameda for detail.
- Seniors
You have to be a student of the department of engineering system,
University of Tsukuba.
Members
As of 2008/02/29.
Leader :
Yoshinari Kameda
Researchers :
Yoshinari Kameda(2004-)
Yuichi Ohta(2004-)
Cooperative researcher :
Itaru Kitahara (2005-)
Students :
Takashi Nishizaki(2004-), Takashi Hattori(2004-)
Koji Kanari(2005-)
Tomoyuki Kobayashi(2005-)
Shunichiro Furuhata(2006-)
Tsukasa Sumiya(2007-)
kameda[at]iit.tsukuba.ac.jp
