The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-2/W12
https://doi.org/10.5194/isprs-archives-XLII-2-W12-203-2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-203-2019
09 May 2019
 | 09 May 2019

ACTION RECOGNITION USING UNDECIMATED DUAL TREE COMPLEX WAVELET TRANSFORM FROM DEPTH MOTION MAPS / DEPTH SEQUENCES

B. H. Shekar, P. Rathnakara Shetty, M. Sharmila Kumari, and L. Mestetsky

Keywords: Depth Maps, Wavelet Transform, Stridden Depth Motion Map, Action Recognition

Abstract. 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.