A Survey of Human Action Recognition Approaches that use an RGB-D Sensor
Adnan Farooq, Chee Sun Won · IEIE Transactions on Smart Processing and Computing · 2015
Human action recognition from a video scene has remained a challenging problem in the area of computer vision and pattern recognition. The development of the low-cost RGB depth camera (RGB-D) allows new opportunities to solve the problem of human action recognition. In this paper, we present a comprehensive review of recent approaches to human action recognition based on depth maps, skeleton joints, and other hybrid approaches. In particular, we focus on the advantages and limitations of the existing approaches and on future directions.