2018 25th IEEE International Conference on Image Processing (ICIP) 2018
DOI: 10.1109/icip.2018.8451232
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Depth Human Action Recognition Based on Convolution Neural Networks and Principal Component Analysis

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Cited by 3 publications
(2 citation statements)
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“…The current work about posture recognition can be classified as whole based method (Bui et al 2018) and the component-based method (Lahiani et al 2017). The whole based method adopts the whole appearance or segmentation results of human body in the image to estimate the posture.…”
Section: Wsn-driven Posture Recognition and Correction Towards Basket...mentioning
confidence: 99%
“…The current work about posture recognition can be classified as whole based method (Bui et al 2018) and the component-based method (Lahiani et al 2017). The whole based method adopts the whole appearance or segmentation results of human body in the image to estimate the posture.…”
Section: Wsn-driven Posture Recognition and Correction Towards Basket...mentioning
confidence: 99%
“…In [35], a feature space is modelled from human silhouette contours. Other 3D approaches incorporate depth information for better reconstruction of the 3D human model [36][37][38]. Recently, a 3D action recognition approach [39] is proposed by extracting view invariant features from a CNN-based human pose model.…”
Section: Introductionmentioning
confidence: 99%