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Spatial Multi-scale Motion History Histograms and Its Applications

  • Asim Jan
  • Zunduo Zhao
  • Tong Chen
  • Hongying MengEmail author
  • Tao Lei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

Precisely describing the action inside of a video is a challenging task because the content of the video includes various objects, with different local motion information at different speed in the video frames. In this paper, a new video feature is proposed based on the spatial information of the objects in a frame, along with the motion information between one against multiple consecutive frames. Motion information between pixels at the same position in the whole video are all combined for a new Spatial Multi-Scale Motion History Histogram (SMMHH) dynamic descriptor. The detailed algorithm of the SMMHH was given and it is tested in both human action recognition and touch gesture recognition applications based on the public video datasets. Experimental results demonstrate its excellent performance compared to other traditional methods.

Keywords

Motion Video dynamic feature Human action recognition Hand gesture recognition 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Asim Jan
    • 1
  • Zunduo Zhao
    • 2
  • Tong Chen
    • 2
  • Hongying Meng
    • 1
    • 2
    Email author
  • Tao Lei
    • 3
  1. 1.Brunel University LondonLondonUK
  2. 2.Southwest UniversityChongqingChina
  3. 3.Shaanxi University of Science and TechnologyXi’anChina

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