Merge branch 'master' of github.com:adamhrv/megapixels_dev

1 files changed, 9 insertions, 6 deletions

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@@ -47,11 +47,10 @@
     <div><a href='http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html' target='_blank' rel='nofollow noopener'>ox.ac.uk</a></div>
   </div></div><h2>Oxford Town Centre</h2>
 <p>[ page under development ]</p>
-<p>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. <a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a></p>
-<p>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 (<a href="https://www.google.com/maps/@51.7528347,-1.2581078,3a,90y,324.38h,101.91t/data=!3m6!1e1!3m4!1s3uTXi12qVnI35DnDJbDofg!2e0!7i13312!8i6656">map</a>). Based on an analysis of the papers that use or cite this dataset <a class="footnote_shim" name="[^guiding_surveillance]_1"> </a><a href="#[^guiding_surveillance]" class="footnote" title="Footnote 2">2</a> 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.</p>
-<p>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.</p>
+<p>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, remote biometric analysis, and non-cooperative face recognition. <a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a></p>
+<p>REVISE</p>
 <p>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.</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/surveillance_camera.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View</div></div></section><section>
+</section><section>
   <h3>Who used TownCentre?</h3>
 
   <p>
@@ -111,7 +110,11 @@
 
   <h2>Supplementary Information</h2>
   
-</section><section><p>Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube:</p>
+</section><section><h3>Location</h3>
+<p>The street location of the camera used for the Oxford Town Centre dataset can be easily confirmed using only two visual clues in video: the GAP store and the main road <a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">source</a>. The camera angle and field of view indicate that the camera was elevated and placed at the corner. The edge of the building is visible and there is a small white nylon strap and pigeon deterrent spikes visible on the upper perimeter of the building. Combined with stability of camera and pigeon appearances in front of the camera at 1:24 and 3:29, these visual cues indicate that the camera was mounted outside on the corner of the building just above the deterrence spikes.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Sreet View and Oxford Town Centre dataset'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Sreet View and Oxford Town Centre dataset</div></div></section><section><p>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.</p>
+<h3>Demo Videos Using Oxford Town Centre Dataset</h3>
+<p>Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube:</p>
 <ul>
 <li><a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">Multi target tracking on Oxford Dataset</a></li>
 <li>[Multi-pedestrian tracking (TownCentre dataset)]<a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">https://www.youtube.com/watch?v=nO-3EM9dEd4</a></li>
@@ -127,7 +130,7 @@
 <li>add license info</li>
 </ul>
 </section><section><ul class="footnotes"><li><a name="[^ben_benfold_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^ben_benfold_orig]_1">a</a></span><p>Benfold, Ben and Reid, Ian. "Stable Multi-Target Tracking in Real-Time Surveillance Video". CVPR 2011. Pages 3457-3464.</p>
-</li><li><a name="[^guiding_surveillance]" class="footnote_shim"></a><span class="backlinks"><a href="#[^guiding_surveillance]_1">a</a></span><p>"Guiding Visual Surveillance by Tracking Human Attention". 2009.</p>
+</li><li><a name="[^guiding_surveillance]" class="footnote_shim"></a><span class="backlinks"></span><p>"Guiding Visual Surveillance by Tracking Human Attention". 2009.</p>
 </li></ul></section>
 
   </div>