{'fraction_non_alphanumeric': 0.0321285140562249, 'fraction_numerical': 0.0, 'mean_word_length': 5.391025641025641, '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}}
Person re-identification using color enhancing feature

In this paper, we propose a novel feature descriptor for person re-identification without personal information. It is called Water-Drop Render Box (WDRB). The WDRB method is calculated by three steps with target color and its histogram: registration of target color, transformation of distance map, and enhancement of color using target histogram. In order to calculate WDRB, person's top-view images of entering and leaving the room are captured. This is achieved by constructing a bird's-eye view camera system. The person re-identification is carried out by estimating Bhattacharyya distance between database (entering/leaving room person) image and input (entering/leaving room person) image. Finally, the effectiveness of our WDRB descriptor will be demonstrated through several person reidentification experiments. According to the experimental results, it indicates that the WDRB method can be also used for object re-identification.