{'fraction_non_alphanumeric': 0.01282051282051282, 'fraction_numerical': 0.0, 'mean_word_length': 5.090909090909091, '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}}
Multiple UAVs tracking algorithm with a multi-camera system

This paper presents the tracking and estimation of indoor UAVs using multi-camera visual feedback. The proposed vision algorithm enhances the performance of the vision system by making up for a weakness of low cost camera such as poor resolution and large noise. For the pose estimation of multiple vehicles, data association algorithm using the geometric relation between cameras is employed in this paper.