Material Detail

From Low-level Sensors to High-level Intelligence: Activity Recognition Links the Knowledge Food Chain

From Low-level Sensors to High-level Intelligence: Activity Recognition Links the Knowledge Food Chain

This video was recorded at 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena. Sensors provide computer systems with a window to the outside world. Activity recognition "sees" what is in the window to predict the locations, trajectories, actions, goals and plans of humans and objects. Building an activity recognition system requires a full range of interaction from statistical inference on lower level sensor data to symbolic AI at higher levels, where prediction results and acquired knowledge are passed up each level to form a knowledge food chain. In this talk, I will give an overview of activity recognition and explore its relation to other fields, including planning and knowledge acquisition, machine learning and Web search. I will also describe its... Show More
Rate

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Browse...

Disciplines with similar materials as From Low-level Sensors to High-level Intelligence: Activity Recognition Links the Knowledge Food Chain
People who viewed this also viewed

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.
hidden