Now showing items 1-4 of 4
A computational framework for unsupervised analysis of everyday human activities
(Georgia Institute of Technology, 2008-07-07)
In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of ...
Leveraging mid-level representations for complex activity recognition
(Georgia Institute of Technology, 2019-01-16)
Dynamic scene understanding requires learning representations of the components of the scene including objects, environments, actions and events. Complex activity recognition from images and videos requires annotating large ...
Representing and Recognizing Temporal Sequences
(Georgia Institute of Technology, 2006-08-15)
Activity recognition falls in general area of pattern recognition, but it resides mainly in temporal domain which leads to distinctive characteristics. We provide an extensive survey over existing tools including FSM, HMM, ...
Learning descriptive models of objects and activities from egocentric video
(Georgia Institute of Technology, 2013-06-13)
Recent advances in camera technology have made it possible to build a comfortable, wearable system which can capture the scene in front of the user throughout the day. Products based on this technology, such as GoPro and ...