Method for analysing a set of objects disposed in the vicinity of one another, comprising the following steps: a) capturing an overall image of said set of objects, b1) detecting, in the overall image captured in step a), at least two of said objects, and for each detected object, selecting a portion of the overall image, said portion including said object, b2) for each object detected in step b1), determining at least one characteristic coefficient, representative of said object, by compressing the portion of the overall image including said object so as to reduce a size of data describing said object, c) recognising each object detected in step b) from among a predetermined list of objects, based on the characteristic coefficient, representative of said object, determined in step b2), and d) comparing the objects recognised in step c) with one another according to at least one determined criterion, or determining data representative of said set of objects according to the objects recognised in step c), the method being characterised in that in step b2), the compression of each portion of the overall image is done by means of a transformation into wavelets of said portion of the overall image, said transformation into wavelets comprising a calculation of a product of correlation between: - data representative of said portion of the overall image, and - a base function, in wavelets, said base function being configured by a scale factor, a spatial extension of said base function being even larger as said scale factor is great, said transformation into wavelets being done for a given value of the scale factor, determined before executing steps a) to d), according to the number of objects present in said predetermined list, the given value of the scale factor being even smaller as the number of objects present in said list is large. a) capturing an overall image of said set of objects, b1) detecting, in the overall image captured in step a), at least two of said objects, and for each detected object, selecting a portion of the overall image, said portion including said object, b2) for each object detected in step b1), determining at least one characteristic coefficient, representative of said object, by compressing the portion of the overall image including said object so as to reduce a size of data describing said object, c) recognising each object detected in step b) from among a predetermined list of objects, based on the characteristic coefficient, representative of said object, determined in step b2), and d) comparing the objects recognised in step c) with one another according to at least one determined criterion, or determining data representative of said set of objects according to the objects recognised in step c), the method being characterised in that in step b2), the compression of each portion of the overall image is done by means of a transformation into wavelets of said portion of the overall image, said transformation into wavelets comprising a calculation of a product of correlation between: - data representative of said portion of the overall image, and - a base function, in wavelets, said base function being configured by a scale factor, a spatial extension of said base function being even larger as said scale factor is great, - data representative of said portion of the overall image, and - a base function, in wavelets, said base function being configured by a scale factor, a spatial extension of said base function being even larger as said scale factor is great, said transformation into wavelets being done for a given value of the scale factor, determined before executing steps a) to d), according to the number of objects present in said predetermined list, the given value of the scale factor being even smaller as the number of objects present in said list is large. <EOS>