Methods for recognition of elements and element recognition device

A computer-implemented method, the method comprising:

• receiving input data comprising an observation of an object, the object comprising a plurality of elements;
• classifying each element of the plurality of elements more than once based on the observation of the object, resulting in a plurality of classifications for each element;
• accumulating the plurality of classifications for each element, resulting in accumulated classifications for each element;
• recognizing each element based on the respective accumulated classifications, resulting in a plurality of element recognitions;
• and
• recognizing the object based on the plurality of element recognitions,
• wherein recognizing each element based on the respective accumulated classifications comprises
• sorting the accumulated classifications into a plurality of classification types,
• counting a number of classifications in each classification type of the plurality of classification types, resulting in a count for each classification type, and
• recognizing the element based on the classification type with a highest count.

A computer-implemented method, the method comprising:

• receiving input data comprising an observation of an object, the object comprising a plurality of elements;
• classifying each element of the plurality of elements more than once based on the observation of the object, resulting in a plurality of classifications for each element;
• accumulating the plurality of classifications for each element, resulting in accumulated classifications for each element;
• recognizing each element based on the respective accumulated classifications, resulting in a plurality of element recognitions;
• and
• recognizing the object based on the plurality of element recognitions;
• wherein recognizing each element based on the respective accumulated classifications comprises
• sorting the accumulated classifications into a plurality of classification types, counting a number of classifications in each classification type of the plurality of classification types, resulting in a count for each classification type, and
• for each classification type of the plurality of classification types, computing a weighted score based on at least one of the count, confidence level, distance between the classifications, element size or track length, and
• recognizing the element based on the classification type with a highest weighted score.

A computer-implemented method, the method comprising:

• receiving input data comprising an observation of an object, the object comprising a plurality of elements;
• classifying each element of the plurality of elements more than once based on the observation of the object, resulting in a plurality of classifications for each element;
• accumulating the plurality of classifications for each element, resulting in accumulated classifications for each element;
• recognizing each element based on the respective accumulated classifications, resulting in a plurality of element recognitions;
• and
• recognizing the object based on the plurality of element recognitions;
• wherein recognizing the object comprises aggregating more than one element recognition to form an element aggregate, and comparing the element aggregate to a plurality of predefined combinations of elements.