期刊论文详细信息
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ACTION RECOGNITION USING UNDECIMATED DUAL TREE COMPLEX WAVELET TRANSFORM FROM DEPTH MOTION MAPS / DEPTH SEQUENCES
Sharmila Kumari, M.^21  Shekar, B. H.^12  Rathnakara Shetty, P.^13 
[1] Lomonosov Moscow State University, Moscow, Russia^3;Mangalore University, Mangalore, Karnataka, India^1;P A College of Engineering, Mangalore, Karnataka, India^2
关键词: Depth Maps;    Wavelet Transform;    Stridden Depth Motion Map;    Action Recognition;   
DOI  :  10.5194/isprs-archives-XLII-2-W12-203-2019
学科分类:地球科学(综合)
来源: Copernicus Publications
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【 摘 要 】

Accumulating the motion information from a video sequence is one of the highly challenging and significant phase in Human Action Recognition. To achieve this, several classical and compact representations are proposed by the research community with proven applicability. In this paper, we propose a compact Depth Motion Map based representation methodology with hastey striding, consisely accumulating the motion information. We extract Undecimated Dual Tree Complex Wavelet Transform features from the proposed DMM, to form an efficient feature descriptor. We designate a Sequential Extreme Learning Machine for classifying the human action secquences on benchmark datasets, MSR Action 3D dataset and DHA Dataset. We empirically prove the feasability of our method under standard protocols, achieving proven results.

【 授权许可】

CC BY   

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