Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

2 May 2017Zewei DingPichao WangPhilip O. OgunbonaWanqing Li

Deep learning techniques are being used in skeleton based action recognition tasks and outstanding performance has been reported. Compared with RNN based methods which tend to overemphasize temporal information, CNN-based approaches can jointly capture spatio-temporal information from texture color images encoded from skeleton sequences... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Skeleton Based Action Recognition NTU RGB+D Five Spatial Skeleton Features Accuracy (CV) 82.31 # 50

Methods used in the Paper


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