Method for identification of an unoccupied seat in a passenger transport vehicle with a plurality of seats, having the steps: - capture of image data which maps a seat, - performance of a mathematical image analysis on the basis of the captured image data, wherein analysis data is generated with the help of the mathematical image analysis, characterised by the steps: - performance of the mathematical image analysis with regard to seat textures, wherein the generated analysis data contains information on whether the seat has repeating patterns of seat textures, - wherein the mathematical image analysis - comprises a mathematical transformation, preferably an integral transformation or a discrete transformation, with which periodic properties of the seat textures can be made recognizable, - wherein the mathematical transformation comprises a Fourier transform (2D-FT) of the captured image data, wherein the captured image data is transformed into the frequency domain, and - wherein the analysis data is generated on the basis of a comparison of the transformed image data with transformed pattern image data (TMBD), or - comprises a convolution operation, with which periodically recurring patterns in the seat textures are detected, - determination that the seat is unoccupied, if on the basis of the analysis data repeating patterns of seat textures are detected. - capture of image data which maps a seat, - performance of a mathematical image analysis on the basis of the captured image data, wherein analysis data is generated with the help of the mathematical image analysis, - performance of the mathematical image analysis with regard to seat textures, wherein the generated analysis data contains information on whether the seat has repeating patterns of seat textures, - wherein the mathematical image analysis - comprises a mathematical transformation, preferably an integral transformation or a discrete transformation, with which periodic properties of the seat textures can be made recognizable, - wherein the mathematical transformation comprises a Fourier transform (2D-FT) of the captured image data, wherein the captured image data is transformed into the frequency domain, and - wherein the analysis data is generated on the basis of a comparison of the transformed image data with transformed pattern image data (TMBD), or - comprises a convolution operation, with which periodically recurring patterns in the seat textures are detected, - determination that the seat is unoccupied, if on the basis of the analysis data repeating patterns of seat textures are detected. - comprises a mathematical transformation, preferably an integral transformation or a discrete transformation, with which periodic properties of the seat textures can be made recognizable, - wherein the mathematical transformation comprises a Fourier transform (2D-FT) of the captured image data, wherein the captured image data is transformed into the frequency domain, and - wherein the analysis data is generated on the basis of a comparison of the transformed image data with transformed pattern image data (TMBD), or - comprises a convolution operation, with which periodically recurring patterns in the seat textures are detected, - wherein the mathematical transformation comprises a Fourier transform (2D-FT) of the captured image data, wherein the captured image data is transformed into the frequency domain, and - wherein the analysis data is generated on the basis of a comparison of the transformed image data with transformed pattern image data (TMBD), or - comprises a convolution operation, with which periodically recurring patterns in the seat textures are detected, - determination that the seat is unoccupied, if on the basis of the analysis data repeating patterns of seat textures are detected.