Kitchengam’ Criteria on the Use of Algorithms in a Person’s Pattern Detection, which Contribute to Safety, Surveillance and Energy Efficiency: Study of Art

Authors

  • Washington Garcia-Quilachamin Universidad Nacional Mayor de San Marcos - Perú / Universidad Laica Eloy Alfaro de Manabi - Ecuador https://orcid.org/0000-0002-3025-6088
  • Julieta Evangelina Sánchez - Cano Universidad Juárez del Estado de Durango - México
  • Luzmila Pro Concepción Universidad Nacional Mayor de San Marcos - Perú

DOI:

https://doi.org/10.3991/ijoe.v16i07.14291

Keywords:

Algorithms in detection, algorithm models, systematic review, viola-jones, Kitchengam criteria, energy efficiency

Abstract


Among the technological evolution is the application of algorithms in cameras for the detection and recognition of people, being a contribution to the security and surveillance in commercial, home areas, and smart cities. The objective of this research is to know and identify algorithms in the detection of patterns of a person, considering the criteria of Kitchengam. For this purpose, the following research questions were asked: Q1) How many studies refer to algorithms in pattern recognition? Q2: What types of algorithm models exist in an environment related to pattern recognition? and Q3: What types of pattern recognition algorithms currently exist? The search process was carried out in the digital libraries IEEE Xplore, ACM Digital Library, Springer Link and Science Direct (Elsevier). Obtained 1402 potentially eligible studies and obtained a final sample of 28 papers considered as main research studies. The results obtained allow us to consider the Support Vector Machines model with 92% recognition and the Viola-Jones algorithm with effective detection of 97,53%, are a contribution to the surveillance and safety of people within the recognition and detection of a person’s pattern, considering also as a challenge its feasibility focused on energy efficiency, in domestic, business and smart cities.

Author Biographies

Washington Garcia-Quilachamin, Universidad Nacional Mayor de San Marcos - Perú / Universidad Laica Eloy Alfaro de Manabi - Ecuador

Research member accredited with REG-INV-18-03232, by the secretary of higher education, science, technology and innovation (SENESCYT), Ecuador

Julieta Evangelina Sánchez - Cano, Universidad Juárez del Estado de Durango - México

Member of the National System of Researchers, CONACYT

Luzmila Pro Concepción, Universidad Nacional Mayor de San Marcos - Perú

Currently responsible for the research group "Information Technology with Applications in the Biomedical Sciences BIOMEDICAL-IT", of the UNMSM

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Published

2020-06-19

How to Cite

Garcia-Quilachamin, W., Sánchez - Cano, J. E., & Pro Concepción, L. (2020). Kitchengam’ Criteria on the Use of Algorithms in a Person’s Pattern Detection, which Contribute to Safety, Surveillance and Energy Efficiency: Study of Art. International Journal of Online and Biomedical Engineering (iJOE), 16(07), pp. 49–64. https://doi.org/10.3991/ijoe.v16i07.14291

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Papers