Learning Human Activities and Object Affordances from RGB-D Videos

@article{Koppula2012LearningHA,
  title={Learning Human Activities and Object Affordances from RGB-D Videos},
  author={Hema Swetha Koppula and Rudhir Gupta and Ashutosh Saxena},
  journal={CoRR},
  year={2012},
  volume={abs/1210.1207}
}
Understanding human activities and object affordances are two very important skills, especially for personal robots which operate in human environments. In this work, we consider the problem of extracting a descriptive labeling of the sequence of sub-activities being performed by a human, and more importantly, of their interactions with the objects in the form of associated affordances. Given a RGB-D video, we jointly model the human activities and object affordances as a Markov random field… CONTINUE READING
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