1. A method of detection of points of interest in a digital image of a sequence of images ( 12 ) of a scene picked up by a camera ( 10 ), this method implementing an point of interest search algorithm ( 14 ) that is parameterizable with a detection threshold (τ) such that the number (N) of points of interest detected in the image varies as a function of the threshold level, this method being characterized by a modeling by a decreasing exponential function of the characteristic giving the number (N) of detected points of interest as a function of the threshold (τ), this exponential function being dynamically parameterizable with values (C, σ) linked to an image to be analysed, and in that it comprises the following steps: a) determining ( 18 ), for a current image, values of parameterization (C, σ) of the decreasing exponential function; b) predicting ( 18 ), for said current image, an optimum value of the detection threshold (τ) by using the modelled characteristic, parameterized with the values determined at step a); and c) applying ( 14 ), for at least one image following said current image, the point of interest search algorithm with the optimum detection threshold value (τ) computed at step b).