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» Recognizing Realistic Actions from Videos in the Wild
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AAAI
2012
11 years 11 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 2 months ago
Design and Evaluation of Emotion-Display EDDIE
— This paper focuses on the development of EDDIE, a flexible low-cost emotion-display with 23 degrees of freedom. Actuators are assigned to particular action units of the facial...
Stefan Sosnowski, Ansgar Bittermann, Kolja Kü...

Publication
195views
14 years 4 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel intensity values towards representations that explicitly and compactly ca...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
WACV
2005
IEEE
14 years 4 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
To facilitate accurate and efficient detection of motion patterns in video data, it is desirable to abstract from pixel intensity values to representations that explicitly and co...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
HUMO
2007
Springer
14 years 2 months ago
Human Action Recognition Using Distribution of Oriented Rectangular Patches
We describe a “bag-of-rectangles” method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by orien...
Nazli Ikizler, Pinar Duygulu