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authorjules@lens <julescarbon@gmail.com>2019-03-04 18:49:49 +0100
committerjules@lens <julescarbon@gmail.com>2019-03-04 18:49:49 +0100
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tree5badf560813c7143959fbc27b4b63b0c3f09d8f7 /site/datasets/final/mars.json
parent799a484b0f2c022e7c321a043b908de81f24c2c5 (diff)
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-{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "dataset": {"key": "mars", "name_short": "MARS", "name_full": "Motion Analysis and Re-identification Set", "purpose": "Motion Analysis and Re-identification Set", "url": "http://www.liangzheng.com.cn/Project/project_mars.html", "downloaded": "Y", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "N", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "market_1501", "child": "", "source": "cctv_outdoor", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,191,003 ", "videos": "", "identities": "1,261 ", "faces": "", "img_per_person": "", "num_cameras": "6", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "256", "height": "128", "color": "", "gray": "", "derivative_of": "", "tags": "pr_id, fd, gait", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "MARS is an extension of the Market-1501 dataset [43]. During collection, we placed six near-synchronized cameras in the campus of Tsinghua university. There were Five 1,080*1920 HD cameras and one 640*480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras.", "adam": "", "berit": "Y", "charlie": "", "notes": ""}, "paper": {"paper_id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "key": "mars", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016", "pdf": ["http://liangzheng.org/1320.pdf"], "address": "", "name": "MARS", "doi": ["http://doi.org/10.1007/978-3-319-46466-4_52"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"]}, {"id": "23e881c9b791fd17e248b1fb4fc980710dd005d7", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23e8/81c9b791fd17e248b1fb4fc980710dd005d7.pdf"]}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United 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