Skip to main content

Objects Detection in an Image by Color Features

  • Conference paper
  • First Online:
Telecommunications and Remote Sensing (ICTRS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1990))

Included in the following conference series:

  • 41 Accesses

Abstract

The present article introduces an algorithm for object detection in video material based on color characteristics. This algorithm demonstrates efficiency in conditions of varying illumination, low video resolution, as well as when dealing with a substantial number of objects of the same type, but with distinct color attributes. Its potential applications encompass tasks related to object retrieval through real-time video surveillance using stationary and mobile cameras, both in real-time scenarios and video recordings.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kinovea (2023). https://www.kinovea.org/

  2. Darfish (2023). https://sourceforge.net/software/product/Dartfish

  3. Yuan, H.: Image target detection algorithm based on computer vision technology. In: 2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), Madrid, Spain, pp. 10–13 (2022). https://doi.org/10.1109/ICDIIME56946.2022.00010

  4. Li, Z., Jiang, D., Wang, H., Li, D.: Video image moving target recognition method based on generated countermeasure network. Comput. Intell. Neurosci. 2022, 1–8 (2022). https://doi.org/10.1155/2022/7972845

    Article  Google Scholar 

  5. Dange, V., et al.: Image processing and pattern recognition-based car classification for intelligent transportation system. In: 6th Smart Cities Symposium (SCS 2022), Hybrid Conference, Bahrain, pp. 271–275 (2022).https://doi.org/10.1049/icp.2023.0520

  6. Garvanova, M., Ivanov, V.: Quality assessment of defocused image recovery algorithms. In: 3rd International Conference on Sensors, Signal and Image Processing – SSIP 2020, October 9–11, 2020, Prague, Czech Republic. ACM International Conference Proceeding Series, pp. 25–30. New York, NY, USA: ACM (2020). https://doi.org/10.1145/3441233.3441242

  7. Garvanova, M., Ivanov, V.: Quality assessment of image deburring algorithms. IOP Conf. Ser.: Mater. Sci. Eng. 1031(1), 1–5 (2021). https://doi.org/10.1088/1757-899X/1031/1/012051

    Article  Google Scholar 

  8. Maria Dominic Savio, M., Deepa, T., Bonasu, A., Anurag, T.S.: Image processing for face recognition using HAAR, HOG, and SVM algorithms. J. Phys. Conf. Ser. 1964(6), 062023 (2021). https://doi.org/10.1088/1742-6596/1964/6/062023

    Article  Google Scholar 

  9. EmguCV Documentation (2023). https://www.emgu.com/wiki/index.php/Main_Page

  10. ASP.NET Core Documentation (2023). https://learn.microsoft.com/de-de/aspnet/core/introduction-to-aspnet-core?view=aspnetcore-7.0

  11. Pascal, D.: Areview of RGB Color Spaces – BabelColor, Monreal, Canada (2002)

    Google Scholar 

  12. Asynchron Programming C# (2022). https://learn.microsoft.com/de-de/dotnet/csharp/asynchronous-programming/async-scenarios

  13. Garvanov, I., Garvanova, M., Ivanov, V., Lazarov, A., Borissova, D., Kostadinov, T.: Detection of unmanned aerial vehicles based on image processing. In: Shishkov, B., Lazarov, A. (eds.) Telecommunications and Remote Sensing: 11th International Conference, ICTRS 2022, Sofia, Bulgaria, November 21–22, 2022, Proceedings, pp. 37–50. Springer Nature Switzerland, Cham (2022). https://doi.org/10.1007/978-3-031-23226-8_3

    Chapter  Google Scholar 

  14. Garvanov, I., Kabakchiev, C., Behar, V., Daskalov, P.: Air target detection with a GPS forward-scattering radar. In: XVIII International Symposium on Electrical Apparatus and Technologies – SIELA 2016, Bourgas, Bulgaria, pp. 1–4 (2016). https://doi.org/10.1109/SIELA.2016.7543000

  15. Garvanov, I., Kabakchiev, C.: Radar detection and track determination with a transform analogous to the Hough transform. In: International Radar Symposium – IRS 2006, Krakow, Poland, pp. 121–124 (2006). https://doi.org/10.1109/IRS.2006.4338015

  16. Shishkov, B., Verbraeck, A.: Making enterprise information systems resilient against disruptive events: a conceptual view. In: Shishkov, B. (ed.) BMSD 2020. LNBIP, vol. 391, pp. 38–54. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-52306-0_3

    Chapter  Google Scholar 

Download references

Acknowledgement

This work was supported by the National Science Program “Security and Defense”, which has received funding from the Ministry of Education and Science of the Republic of Bulgaria under the grant agreement № D01–74 /19.05.2022.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Georgi Tsonkov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tsonkov, G., Garvanova, M. (2023). Objects Detection in an Image by Color Features. In: Shishkov, B., Lazarov, A. (eds) Telecommunications and Remote Sensing. ICTRS 2023. Communications in Computer and Information Science, vol 1990. Springer, Cham. https://doi.org/10.1007/978-3-031-49263-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-49263-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49262-4

  • Online ISBN: 978-3-031-49263-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics