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+------------
+
+status: published
+title: Oxford Town Centre
+desc: Oxford Town Centre is a dataset of surveillance camera footage from Cornmarket St Oxford, England
+subdesc: The Oxford Town Centre dataset includes
+slug: oxford_town_centre
+cssclass: dataset
+image: assets/background.jpg
+year: 2015
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Published: 20111
++ Identities: 2200
++ Created by: University of Oxford
++ Purpose: Person detection, gaze estimation, crowd tracking
++ Download Size: 118MB
++ Website: <a href="http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html">robots.ox.ac.uk</a>
+
+
+## Oxford Town Centre
+
+[ page under development ]
+
+The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with "potential applications in activity recognition and remote biometric analysis" or non-cooperative face recognition. [^ben_benfold_orig]
+
+Based on observations of the dataset video and Google Street images, the source of the footage has been geolocated to a public CCTV camera at the intersection of Cornmarket and Market St. Oxford, England ([map](https://www.google.com/maps/@51.7528347,-1.2581078,3a,90y,324.38h,101.91t/data=!3m6!1e1!3m4!1s3uTXi12qVnI35DnDJbDofg!2e0!7i13312!8i6656)). Based on an analysis of the papers that use or cite this dataset [^guiding_surveillance] the inferred year of capture was definitely 2009 and the season was perhaps February or March based on the the window advertisements and cool-weather clothing.
+
+Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.
+
+Although Oxford Town Centre dataset first appears as a pedestrian dataset, it was created to improve the stabilization of pedstrian detections in order to extract a more accurate head region that would lead to improvements in face recognition.
+
+
+![caption: Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View](assets/surveillance_camera.jpg)
+
+{% include 'chart.html' %}
+
+{% include 'piechart.html' %}
+
+{% include 'map.html' %}
+
+{% include 'citations.html' %}
+
+{% include 'supplementary_header.html' %}
+
+Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube: 
+- [Multi target tracking on Oxford Dataset](https://www.youtube.com/watch?v=nO-3EM9dEd4)
+- [Multi-pedestrian tracking (TownCentre dataset)]https://www.youtube.com/watch?v=nO-3EM9dEd4
+- [Multiple object tracking with kalman tracker and sort](https://www.youtube.com/watch?v=SKXk6uB8348)
+- [Multi target tracking on Oxford dataset](https://www.youtube.com/watch?v=RM_RdXH7pSY)
+- [towncentre](https://www.youtube.com/watch?v=ErLtfUAJA8U)
+- [VTD - towncenter.avi](https://www.youtube.com/watch?v=LwMOmqvhnoc)
+
+
+[ add visualization ]
+
+
+TODO
+
+- make visualization
+- add license info
+
+
+### Footnotes
+
+[^ben_benfold_orig]: Benfold, Ben and Reid, Ian. "Stable Multi-Target Tracking in Real-Time Surveillance Video". CVPR 2011. Pages 3457-3464.
+[^guiding_surveillance]: "Guiding Visual Surveillance by Tracking Human Attention". 2009.