{'fraction_non_alphanumeric': 0.013582342954159592, 'fraction_numerical': 0.0, 'mean_word_length': 5.781609195402299, '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}}
Recognizing People and Their Activities in Surveillance Video: Technology State of Readiness and Roadmap

This paper presents a technology readiness assessment framework called PROVE-IT(), which allows one to access the readiness of face recognition and video analytic technologies for video surveillance applications, and the roadmap for the deployment of technologies for automated recognition of people and their activities in video, based on the proposed assessment framework and the evaluations conducted by the Canada Border Services Agency and its partners over the past five years.