{'fraction_non_alphanumeric': 0.014175257731958763, 'fraction_numerical': 0.005154639175257732, 'mean_word_length': 5.368852459016393, '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}}
Multi-person tracking based on vertical reference lines and dynamic visibility analysis

Multiple people tracking from multiple cameras can suffer from various problems, particularly from inter-person occlusions. This paper attempts to solve the problems by analyzing the view visibility and ranking the reliability of the cues from 2D views. It combines the visibility with the smoothness constraints into a probability framework, which offers a more flexible and robust estimation. Moreover, it introduces 3D reference lines to estimate the 2D position of every individual in the input images. These lines can estimate more accurate and robust 2D positions. The experimental results and quantitative evaluations on the standard data set show the effectiveness of the method.