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A Real-Time Method to Remotely Detect a Target Based on Color Average and Deviation

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Technology Trends (CITT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 895))

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Abstract

This paper presents a new semiautomatic method to remotely segment a target in real-time. The aim is to obtain a fast distinction and detection based on RGB color space analysis. Firstly, a pixel of the desired target manually is selected and evaluated based on weighing different surrounding areas of interest (Ai). Later, statistical measures, identification of deviation parameters and the subsequent assignation of identifiers (ID’s) that are obtained from the color information of each region Ai. The performance of the algorithm is evaluated based on segmentation quality and computation time. These tests have been performed using databases as well in real-time and accessed in remote way (distance from the control-site 8.828.12 km) to prove the robustness of the algorithm. The results revealed that the proposed method performs efficiently in tasks as; objects detection in forested areas with high density (jungle images), segmentation in images with few color contrasts, segmentation in cases of partial occlusions, images with low light conditions and crowded scenes. Lastly, the results show a considerable decrease of the processing time and a more accurate detection of a specific target in relation with other methods proposed in literature.

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Acknowledgments

Henry Cruz Carrillo gives thanks the Technological Scientific Research Center of the Ecuadorian Army (CICTE) for the collaboration obtained.

This work was sponsored by Spanish National Plan for Scientific and Technical Research and Innovation, project number TEC2013-48453-C2-2-R.

Henry Cruz Carrillo gives thanks Ecuadorian Air Force Research and Development Center (CIDFAE) for the collaboration obtained.

Author information

Authors and Affiliations

  1. Universidad de las Fuerzas Armadas-ESPE, Sangolquí, Ecuador

    Henry Cruz

  2. Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Ctra. Valencia, Km. 7, 28031, Madrid, Spain

    Juan Meneses

  3. Facultad de Ingeniería Industrial. Av. Las Aguas, Universidad de Guayaquil, Guayaquil, Ecuador

    Gustavo Andrade-Miranda

Authors
  1. Henry Cruz
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  2. Juan Meneses
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  3. Gustavo Andrade-Miranda
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Corresponding author

Correspondence to Henry Cruz .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Computer Science, Politecnica Salesiana University, Cuenca, Ecuador

    Guillermo Pizarro

  3. Facultad de Ingenieria, University of Cuenca, Cuenca, Ecuador

    Miguel Zúñiga-Prieto

  4. Universidad Estatal de Milagro, San Francisco de Milagro, Ecuador

    Mayra D’Armas

  5. Universidad Técnica de Babahoyo, Babahoyo, Ecuador

    Miguel Zúñiga Sánchez

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Cruz, H., Meneses, J., Andrade-Miranda, G. (2019). A Real-Time Method to Remotely Detect a Target Based on Color Average and Deviation. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds) Technology Trends. CITT 2018. Communications in Computer and Information Science, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-05532-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-05532-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05531-8

  • Online ISBN: 978-3-030-05532-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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