{'fraction_non_alphanumeric': 0.010256410256410256, 'fraction_numerical': 0.0, 'mean_word_length': 5.2063492063492065, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Visual Object Recognition in RoboCup

This paper constitutes a presentation of the methods used by the IUB RoboCup team for visual recognition, comprising a description of the system architecture and of the image processing algorithms. The problem is first formulated and then a state of the art implementation is presented. New innovative methods are discussed together with their results.