From 07dd05f733c8618ea8dc687f7a48a7add6f5a83b Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 14:42:20 +0200 Subject: fix --- site/public/datasets/duke_mtmc/index.html | 50 +++++++++++++++---------------- 1 file changed, 24 insertions(+), 26 deletions(-) (limited to 'site/public/datasets/duke_mtmc') diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 431cf7ff..9664181e 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -26,12 +26,17 @@
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Duke MTMC is a dataset of CCTV footage of students at Duke University
Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 cameras at Duke University campus in March 2014 -
Collected
March 19, 2014
Cameras
8
Video Frames
2,000,000
Identities
Over 2,000
Used for
Person re-identification,
face recognition
Sector
Academic
Website

Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

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(PAGE UNDER DEVELOPMENT)

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Duke MTMC is a dataset of surveillance camera footage of students on Duke University campus
Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014 +
Created
2014
Identities
Over 2,700
Used for
Face recognition, person re-identification
Created by
Computer Science Department, Duke University, Durham, US
Website

Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

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[ PAGE UNDER DEVELOPMENT ]

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Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving multi-target multi-camera tracking. The videos were recorded during February and March 2014 and cinclude

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Includes a total of 888.8 minutes of video (ind. verified)

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"We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy."

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The dataset includes approximately 2,000 annotated identities appearing in 85 hours of video from 8 cameras located throughout Duke University's campus.

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Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey
Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey

According to the dataset authors,

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Information Supply Chain

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Biometric Trade Routes

- To understand how Duke MTMC Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how Duke MTMC Dataset has been used around the world for commercial, military and academic research; publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

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  • Academic
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  • Industry
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  • Government / Military
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  • Commercial
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  • Military / Government
  • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
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Who used Duke MTMC Dataset?

- This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

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- These pie charts show overall totals based on country and institution type. -

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Supplementary Information

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Supplementary Information

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Citations

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Dataset Citations

- Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

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