Activity detection with dendrite threshold model

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

doi:10.1109/ICACCI.2015.7275962

Activity detection with dendrite threshold model

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

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
Editors	Oge 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
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2307-2310
Number of pages	4
ISBN (Electronic)	9781479987917
DOIs	https://doi.org/10.1109/ICACCI.2015.7275962
Publication status	Published - Sep 24 2015
Event	International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 - Kerala, India Duration: Aug 10 2015 → Aug 13 2015

Publication series

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

Other

Other	International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
Country	India
City	Kerala
Period	8/10/15 → 8/13/15

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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

Activity detection with dendrite threshold model. / Bakirov, Daniyar; Dorzhigulov, Anuar; Swathikiran, S.; James, Alex Pappachen.

2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015. ed. / Oge 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. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2307-2310 7275962 (2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bakirov, D, Dorzhigulov, A, Swathikiran, S & James, AP 2015, Activity detection with dendrite threshold model. in O Marques, D Krishnaswamy, SM Thampi, C Callegari, JM Alcaraz Calero, H Takagi, JL Mauri, N Meghanathan, J Rodrigues, ZS Bojkovic, J Rodrigues, R Sandhu, M Wozniak, S Sahni, M Vinod, NR Prasad, X Que & E Au (eds), 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015., 7275962, 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2307-2310, International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Kerala, India, 8/10/15. https://doi.org/10.1109/ICACCI.2015.7275962

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

Bakirov, Daniyar ; Dorzhigulov, Anuar ; Swathikiran, S. ; James, Alex Pappachen. / Activity detection with dendrite threshold model. 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015. editor / Oge 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. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2307-2310 (2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015).

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title = "Activity detection with dendrite threshold model",

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.",

author = "Daniyar Bakirov and Anuar Dorzhigulov and S. Swathikiran and James, {Alex Pappachen}",

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

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A2 - Krishnaswamy, Dilip

A2 - Thampi, Sabu M.

A2 - Callegari, Christian

A2 - Alcaraz Calero, Jose M.

A2 - Takagi, Hideyuki

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Access to Document

10.1109/ICACCI.2015.7275962