Depth Motion Map Based Human Action Recognition Using Adaptive Threshold Technique
Author:
Affiliation:
1. Khulna University,Mathematics Discipline,Khulna,Bangladesh,9208
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9733402/9733430/09733611.pdf?arnumber=9733611
Reference18 articles.
1. Real-time human action recognition based on depth motion maps;chen;Journal of Real-Time Image Processing,2016
2. Space-time occupancy patterns for 3D action recognition from depth map sequences;vieira;Progress in Pattern Recognition Image Analysis Computer Vision and Applications,2012
3. Shape and Texture Features based Human Action Recognition Using Collaborative Representation Classification;ali;SJEAT,2019
4. An adaptive logical method for binarization of degraded document images
5. A Threshold Selection Method from Gray-Level Histograms
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1. Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions;Frontiers in Neuroscience;2023-10-02
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