Difference between revisions of "Robot Perception"

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(Object Recognition)
(Object Recognition)
 
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=Object Recognition=
 
=Object Recognition=
* Page link to Dr. Kim <br/> <br/>
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* [http://www.robot-intelligence.kr/index.php/Object_Recognition Object Recognition]
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<br />
  
 
=Human Tracking and Behavior Analysis=
 
=Human Tracking and Behavior Analysis=
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* For human activity analysis, SGT(Situation Graph Tree) is introduced for easily utilizing the domain knowledge about abnormal behaviors.
 
* For human activity analysis, SGT(Situation Graph Tree) is introduced for easily utilizing the domain knowledge about abnormal behaviors.
 
* Our overall s/w schema is as follows:
 
* Our overall s/w schema is as follows:
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::[[File:behavior-analysis.jpg|800px|left]]
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<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
  
 
==Related Papers==
 
==Related Papers==
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*Chansu Kim and Sung-Kee Park,"Modified Particle Filtering using Foreground Separation and Confidence for Object Tracking," IEEE Advanced Video and Signal-based Surveillance, 2016.

Latest revision as of 19:26, 17 June 2016

Object Recognition


Human Tracking and Behavior Analysis

Concept

  • For human tracking, we are studying a method of tracking-by-detection, which use the combined visual features such as color, LBP and intensity.
  • For human activity analysis, SGT(Situation Graph Tree) is introduced for easily utilizing the domain knowledge about abnormal behaviors.
  • Our overall s/w schema is as follows:
Behavior-analysis.jpg






















Related Papers

  • Chansu Kim and Sung-Kee Park,"Modified Particle Filtering using Foreground Separation and Confidence for Object Tracking," IEEE Advanced Video and Signal-based Surveillance, 2016.