{"_buckets": {"deposit": "9a481c45-a65f-4310-911d-6ac2415a541a"}, "_deposit": {"id": "21715", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21715"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021715"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "A study on people density estimation using multiple cameras"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2013-09", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "230", "bibliographicPageEnd": "6", "bibliographicPageStart": "1", "bibliographicVolumeNumber": "113", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. 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Crowd analysis is focused on for public safety and marketing. Also, in recent years, it has become necessary to analyze a large volume of video data recording the activity of a crowd according to the widespread of surveillance cameras due to the increase of security awareness. Automatic analysis of such crowd videos is in demand because manual analysis takes time and effort. Among the crowd analysis, there is a demand for people density estimation. Therefore, we aim to estimate the density of people in a situation where many people exist, using multiple cameras to deal with occlusion. In this report, we study a method which estimates the people density by counting people based on regression in small areas. 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