Method and system for the automatic detection of events in sport fields

A method for evaluating an event occurrence in an area, said occurrence depending upon a mutual spatial position of one or more moving subjects belonging to a predefined typology 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 subjects in said acquired digital image;
• extracting from said acquired digital image a filtered image containing exclusively the moving subjects;
• detecting in said search region of said filtered image, the moving subjects belonging to said predefined typology, the detecting carried out by a classifier that is based upon a neural network trained through wavelet coefficients, the neural network chosen from a library of neural networks according to spatial position of the moving subjects and visibility conditions;
• calculating the mutual spatial position from the detected moving subjects;
• evaluating the event occurrence;
• and
• signaling one of a first result or a second result on the basis of the evaluating.

A system for detecting and signaling an event occurrence in an area, said occurrence depending upon mutual spatial position of one or more moving subjects belonging to a predefined typology with respect to a spatial position of one or more fixed references, said system comprising:

• one or more acquisition units of a plurality of digital images of said area, wherein each said one or more acquisition units comprises one or more processing units configured to define the spatial position of each said one or more moving subjects with respect to one or more fixed references and, for each acquired digital image of said plurality of digital images:
• i) define a search region inside said acquired digital image;
• ii) recognize all moving subjects in said acquired digital image;
• and iii) extract from said acquired digital image a filtered image containing exclusively the moving subjects;
• and
• a supervision unit for evaluating said event occurrence based upon said mutual spatial position, the evaluating comprising the use of a detection function incorporating a minimum and a maximum dimension associated with at least one subject amongst the one or more moving subjects, wherein detecting through the detection function 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.