{"_buckets": {"deposit": "3a00873d-4505-4f50-b286-31ea5a6570e6"}, "_deposit": {"id": "21694", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21694"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021694"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Person Re-identification at a Room Entrance by Adaptive Feature Selection"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-03-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "467", "bibliographicPageEnd": "252", "bibliographicPageStart": "247", "bibliographicVolumeNumber": "110", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. 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The method allows us to re-identify people in high precision by adaptively selecting features according to the individuals in the room. Recently in the field of a video analysis for marketing, flow analysis of customers is important. It is used in a place such as convenience stores and museums, where an arbitrary number of customers enter and exit ; For example, it can be used for measuring the mean time of stay by monitoring the entrance. Such information can be obtained by re-identifying the individuals (entering and exiting the room) using color features. However, in the case that multiple individuals are dressed in similar colors, it is difficult to re-identify them correctly with only the color features. Therefore, focusing on the difference in local features, the person re-identification accuracy is improved by selecting features effective for re-identification per individual. In this paper, we show the experimental results for evaluating adaptive feature selection. We also measured the number of entry/exit events, and the time of stay for each individual from a 8 days video by using the proposed method. 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