Patent ID: 8543525

Claim:
A method for evaluating an event occurrence in an area, said occurrence depending upon a mutual spatial position of at least one object with respect to a spatial position of one or more fixed references, the method comprising: a) acquiring a plurality of digital images in sequence in said area; b) for each acquired digital image of said plurality of digital images: defining a search region inside said acquired digital image; recognizing all moving objects in said acquired digital image; extracting from said acquired digital image a filtered image containing exclusively the moving objects; detecting in said search region of said filtered image the at least one object, the detecting comprising using an operator that includes a definition of a minimum and a maximum dimension associated with the at least one object; calculating the mutual spatial position based on the detecting of the at least one object; evaluating the event occurrence on the basis of the calculation; and providing an event occurence result on the basis of the evaluation, wherein said detecting is confirmed by a classifier based upon a neural network, said neural network being a) trained through wavelet coefficients and b) chosen from a library of neural networks.