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Integrating multi-stage depth-induced contextual information for human action recognition and localization
2013
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Human action recognition and localization is a challenging vision task with promising applications. To tackle this problem, recently developed commodity depth sensor (e.g., Microsoft Kinect) has opened up new opportunities with several developed human motion features based on depth image for action representation. However, how depth information can be effectively adopted in the middle or high level representation in action detection, in particular, the depth induced three dimensional contextual
doi:10.1109/fg.2013.6553756
dblp:conf/fgr/NiPLLM13
fatcat:jnxm2wtbnfgqbmu6x3dphjliju