Activity detection with dendrite threshold model

Daniyar Bakirov, Anuar Dorzhigulov, S. Swathikiran, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an activity detection system using dendrite threshold logic neuron models. This method generates a dendrite weight matrix from the background image and detect the changes in the subsequent images through the trained neuron outputs. Using only one layer of dendrite neuron cells with simplistic threshold logic cells, an accuracy of 98% is reported in realistic imaging conditions. The real-time implementation of the system is done using OpenCV libraries to be deployed in raspberry pi platform.

Original languageEnglish
Title of host publication2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
EditorsOge Marques, Dilip Krishnaswamy, Sabu M. Thampi, Christian Callegari, Jose M. Alcaraz Calero, Hideyuki Takagi, Jaime Lloret Mauri, Natarajan Meghanathan, Joel Rodrigues, Zoran S. Bojkovic, Joel Rodrigues, Ravi Sandhu, Michal Wozniak, Sartaj Sahni, M. Vinod, Neeli R. Prasad, Xinyu Que, Edward Au
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2307-2310
Number of pages4
ISBN (Electronic)9781479987917
DOIs
Publication statusPublished - Sep 24 2015
EventInternational Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 - Kerala, India
Duration: Aug 10 2015Aug 13 2015

Publication series

Name2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015

Other

OtherInternational Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
CountryIndia
CityKerala
Period8/10/158/13/15

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ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Information Systems
  • Computer Networks and Communications

Cite this

Bakirov, D., Dorzhigulov, A., Swathikiran, S., & James, A. P. (2015). Activity detection with dendrite threshold model. In O. Marques, D. Krishnaswamy, S. M. Thampi, C. Callegari, J. M. Alcaraz Calero, H. Takagi, J. L. Mauri, N. Meghanathan, J. Rodrigues, Z. S. Bojkovic, J. Rodrigues, R. Sandhu, M. Wozniak, S. Sahni, M. Vinod, N. R. Prasad, X. Que, & E. Au (Eds.), 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 (pp. 2307-2310). [7275962] (2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2015.7275962