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Human Behavior Recognition: An l1ls KSVD-Based Dictionary Learning and Collaborative Representation-Based Classification

  • Pubali DeEmail author
  • Amitava Chatterjee
  • Anjan Rakshit
Conference paper
  • 171 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 591)

Abstract

This work presents a new idea for human behavior recognition based on dictionary learning algorithm and collaborative representation-based classification approach. In this paper, we have proposed an l1ls-based KSVD algorithm for learning a dictionary and collaborative representation is used in the classification phase for this problem. The performance of our proposed idea for human behavior recognition problem establishes the superiority of our new idea.

Keywords

Dictionary learning Human behavior recognition CRC l1ls 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Electrical Engineering DepartmentTechno International BatanagarKolkataIndia
  2. 2.Electrical Engineering DepartmentJadavpur UniversityKolkataIndia

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