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ChaLearn Looking at People Challenge 2014: Dataset and Results
[chapter]
2015
Lecture Notes in Computer Science
This paper summarizes the ChaLearn Looking at People 2014 challenge. The competition was split into three independent tracks: human pose recovery from RGB data, action and interaction recognition from RGB data sequences, and multi-modal gesture recognition from RGB-Depth sequences. For all the tracks, the goal was to perform user-independent recognition in sequences of continuous images using the overlapping Jaccard index as the evaluation measure. In this edition of the ChaLearn challenge, two
doi:10.1007/978-3-319-16178-5_32
fatcat:arlegvujt5c2fb3fmou4fx5iwu