Abstract
Freedom of movement is a major challenge for blind or visually impaired people. Movement in urban environment is for such people a big problem. Hence, the aim of the study presented in this paper is to develop an efficient method for identification of different public transport means. To simplify the solution as well as to avoid the need of infrastructure changes, recognition approaches based on visual information collected by smartphones have been assumed. According to the above, detectors based on Haar-like features as well as selected image processing algorithm have been prepared and analysed. Results obtained during performed tests have been reported and compared. Effectiveness of examined individual approaches has been discussed and concluded. Finally, an insight to possible future improvements has been also included.
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Leszczuk, M., Baran, R., Skoczylas, Ł., Rychlik, M., Ślusarczyk, P. (2014). Public Transport Vehicle Detection Based on Visual Information. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2014. Communications in Computer and Information Science, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-07569-3_2
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DOI: https://doi.org/10.1007/978-3-319-07569-3_2
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