Learning Human Activities and Object Affordances from RGB-D Videos

4 Oct 2012Hema Swetha KoppulaRudhir GuptaAshutosh Saxena

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... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Skeleton Based Action Recognition CAD-120 KGS Accuracy 86.0% # 3

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