Abstract
In this paper we propose to develop technology for recognizing Jersey number of each athlete in real time to do sports video indexing in multi-player game. More than two persons are often detected as one object due to frequent collisions between persons in sports. This system recognizes the jersey number of more than one persons based on learnt context information using texts and uniform color information. The resulting system is able to achieve a jersey number recognition accuracy up to 97% on video and photography.
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Acknowledgment
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (R0101-16-293, Development of Object-based Knowledge Convergence Service Platform using Image Recognition in Broadcasting Contents).
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Nam, M., Lee, JY., Kim, S.Y., Jung, Y. (2017). Context Based Multiple Players Identification in Sports Images. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_114
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DOI: https://doi.org/10.1007/978-981-10-5041-1_114
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