https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Jungling_Arens_2010aJungling Arens 2010a - Revision history2026-04-18T20:13:27ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Jungling_Arens_2010a&diff=191563&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 669358528 to Jungling Arens 2010a2021-01-28T16:42:05Z<p>Scipediacontent moved page <a href="/public/Draft_Content_669358528" class="mw-redirect" title="Draft Content 669358528">Draft Content 669358528</a> to <a href="/public/Jungling_Arens_2010a" title="Jungling Arens 2010a">Jungling Arens 2010a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Jungling_Arens_2010a&diff=191562&oldid=prevScipediacontent: Created page with " == Abstract == The automatic detection and tracking of pedestrians in imagery constitute important and challenging problems both in computer vision and driver assistance sys..."2021-01-28T16:42:02Z<p>Created page with " == Abstract == The automatic detection and tracking of pedestrians in imagery constitute important and challenging problems both in computer vision and driver assistance sys..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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The automatic detection and tracking of pedestrians in imagery constitute important and challenging problems both in computer vision and driver assistance systems. We address these problems for the case of a forward looking monocular infrared camera under strong vehicle induced camera motion. An integrated detection & tracking strategy is introduced based on a state-of-the-art feature based object detector originally developed for images in the visual spectrum. The proposed pedestrian detection algorithm can be applied to both infrared and visual imagery. We show the difficulties arising from the specifics of infrared data under strong camera motion and how to tackle these problems by replacing common motion models like the Kalman filter by a feature matching approach.<br />
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== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://publica.fraunhofer.de/documents/N-141430.html http://publica.fraunhofer.de/documents/N-141430.html]<br />
<br />
* [http://xplorestaging.ieee.org/ielx5/5535007/5547951/05548132.pdf?arnumber=5548132 http://xplorestaging.ieee.org/ielx5/5535007/5547951/05548132.pdf?arnumber=5548132],<br />
: [http://dx.doi.org/10.1109/ivs.2010.5548132 http://dx.doi.org/10.1109/ivs.2010.5548132]<br />
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* [https://dblp.uni-trier.de/db/conf/ivs/ivs2010.html#JunglingA10 https://dblp.uni-trier.de/db/conf/ivs/ivs2010.html#JunglingA10],<br />
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005548132 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005548132],<br />
: [http://www.arens-online.info/publications/KJ_MA_IV2010.pdf http://www.arens-online.info/publications/KJ_MA_IV2010.pdf],<br />
: [https://ieeexplore.ieee.org/document/5548132 https://ieeexplore.ieee.org/document/5548132],<br />
: [https://academic.microsoft.com/#/detail/2088187373 https://academic.microsoft.com/#/detail/2088187373]</div>Scipediacontent