Detection and recognition of moving objects using the temporal difference method and the hidden Markov model

2011 ◽  
Author(s):  
Wanhyun Cho ◽  
Sunworl Kim ◽  
Gukdong Ahn
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Difference Method ◽  
Moving Objects ◽  
Hidden Markov ◽  
Temporal Difference ◽  
Detection And Recognition

scholarly journals A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects

2019 ◽  
Author(s):  
Jaeah Kim ◽  
Shashank Singh ◽  
Erik Thiessen ◽  
Anna Fisher
Keyword(s):  
Markov Model ◽  
Eye Tracking ◽  
Hidden Markov Model ◽  
Moving Objects ◽  
Hidden Markov ◽  
Visual Object ◽  
Tracking Data ◽  
Moving Stimuli ◽  
Using Data ◽  
Viable Approach

Eye-tracking provides an opportunity to generate and analyze high-density data relevant to understanding cognition. However, while events in the real world are often dynamic, eye-tracking paradigms are typically limited to assessing gaze toward static objects. In this study, we propose a generative framework, based on a hidden Markov model (HMM), for using eye-tracking data to analyze behavior in the context of multiple moving objects of interest. We apply this framework to analyze data from a recent visual object tracking task paradigm, TrackIt, for studying selective sustained attention in children. Within this paradigm, we present two validation experiments to show that the HMM provides a viable approach to studying eye-tracking data with moving stimuli, and to illustrate the benefits of the HMM approach over some more naive possible approaches. The first experiment utilizes a novel `supervised' variant of TrackIt, while the second compares directly with judgments made by human coders using data from the original TrackIt task. Our results suggest that the HMM-based method provides a robust analysis of eye-tracking data with moving stimuli, both for adults and for children as young as 3.5-6 years old.

scholarly journals A hidden Markov model for analyzing eye-tracking of moving objects

2020 ◽  
Vol 52 (3) ◽  
pp. 1225-1243 ◽  
Author(s):  
Jaeah Kim ◽  
Shashank Singh ◽  
Erik D. Thiessen ◽  
Anna V. Fisher
Keyword(s):  
Markov Model ◽  
Eye Tracking ◽  
Hidden Markov Model ◽  
Moving Objects ◽  
Hidden Markov

Auscultating Diagnosis for Hemodialysis Shunt Stenosis using a Self-Organizing Map and Hidden Markov Model

2012 ◽  
Vol 132 (10) ◽  
pp. 1589-1594 ◽  
Author(s):  
Hayato Waki ◽  
Yutaka Suzuki ◽  
Osamu Sakata ◽  
Mizuya Fukasawa ◽  
Hatsuhiro Kato
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Self Organizing Map ◽  
Self Organizing

Engaging Voluntary Contributions in Online Communities: A Hidden Markov Model

MIS Quarterly ◽  
2018 ◽  
Vol 42 (1) ◽  
pp. 83-100 ◽  
Author(s):  
Wei Chen ◽  
◽  
Xiahua Wei ◽  
Kevin Xiaoguo Zhu ◽  
◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Online Communities ◽  
Hidden Markov ◽  
Voluntary Contributions
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