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IROS 2002

Task analysis based on observing hands and objects by vision

Conference Paper Accepted Paper Artificial Intelligence ยท Robotics

Abstract

In order to transmit, share and store human knowledge, it is important for a robot to be able to acquire task models and skills by observing human actions. Since vision plays an important role for observation, we propose a technique for measuring the position and posture of objects and hands in 3-dimensional space at high speed and with high precision by vision. Next, we show a framework for the analysis and description of a task by using an object functions as elements.

Authors

Keywords

  • Humans
  • Shape
  • Robot sensing systems
  • Orbital robotics
  • Robotics and automation
  • Histograms
  • Solid modeling
  • Position measurement
  • Velocity measurement
  • Extraterrestrial measurements
  • Objective Function
  • High Speed
  • 3D Space
  • Object Position
  • Hand Position
  • Description Task
  • Input Image
  • Points In Space
  • Color Images
  • Kalman Filter
  • Event Detection
  • Depth Images
  • Geometric Model
  • Range Of Sensors
  • Template Matching
  • Human Hand
  • Color Model
  • Image Histogram
  • Object Regions
  • Hand Shape
  • Hand Region
  • Eigenspace
  • Color Histogram
  • Speed Of The Object
  • World Coordinate System
  • 2-dimensional Images

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
706076091343302116