GPU-Based Approach for Human Action Recognition in Video

  • Ishita DuttaEmail author
  • Vikas Tripathi
  • Vaishali Dabral
  • Pooja Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 713)


The power of graphic processing units (GPUs) can be harnessed to obtain an appreciable increase in computing performances by parallelizing various techniques. In view of this, the paper compares the performance of various descriptive statistical techniques like mean, variance and standard deviation on GPU for centroid calculation. Taking after this, the most productive procedure from the said methods has been contrasted with centroid calculation using k-means, processed on CPU. An appreciable increase in accuracy was achieved when we processed the above-mentioned techniques on GPU for centroid calculation in comparison with centroid calculation processed on CPU using k-means technique. The HMDB-51 dataset is used for computations. The aim of the paper is to find the most efficient and accurate approach for centroid and distance calculation in clustering. We attain an accuracy enhancement of 6.58% on comparing centroid calculation using variance method on GPU to centroid calculation using k-means on CPU.


GPU Statistical techniques HMDB-51 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ishita Dutta
    • 1
    Email author
  • Vikas Tripathi
    • 2
  • Vaishali Dabral
    • 3
  • Pooja Sharma
    • 2
  1. 1.Indian Institute of Engineering Science and Technology, ShibpurHowrahIndia
  2. 2.Graphic Era UniversityDehradunIndia
  3. 3.Indraprastha Institute of Information Technology, DelhiNew DelhiIndia

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