{'fraction_non_alphanumeric': 0.013801756587202008, 'fraction_numerical': 0.0, 'mean_word_length': 5.234375, '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}}
Robust tracking of multiple objects using color histogram in intelligent environment

Intelligent space is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment comes to have intelligence. In such an environment, it is very important that the system knows the location information of clients to offer the useful services. Some tracking systems often prepare the models of the objects in advance. It is difficult to adopt this model based tracking as the tracking system of intelligent environment where many kinds of objects exist. In this paper, how to represent feature vectors of multiple objects using color histogram and the tracking method by using color information are described.