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