Mr. Guanxi Wang Profile

Guanxi Wang

at Zhengzhou Univ

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Proceedings Article | 21 July 2017 Paper

Action recognition using multi-scale histograms of oriented gradients based depth motion trail Images

Guanxi Wang, Yun Tie, Lin Qi

Proceedings Volume 10420, 104200I (2017) https://doi.org/10.1117/12.2281553

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In this paper, we propose a novel approach based on Depth Maps and compute Multi-Scale Histograms of Oriented Gradient (MSHOG) from sequences of depth maps to recognize actions. Each depth frame in a depth video sequence is projected onto three orthogonal Cartesian planes. Under each projection view, the absolute difference between two consecutive projected maps is accumulated through a depth video sequence to form a Depth Map, which is called Depth Motion Trail Images (DMTI). The MSHOG is then computed from the Depth Maps for the representation of an action. In addition, we apply L2-Regularized Collaborative Representation (L2-CRC) to classify actions. We evaluate the proposed approach on MSR Action3D dataset and MSRGesture3D dataset. Promising experimental result demonstrates the effectiveness of our proposed method.

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