Scipediacontent: Scipediacontent moved page Draft Content 746103743 to Liu Wang 2015a

2021-02-12T13:33:53Z

Scipediacontent moved page Draft Content 746103743 to Liu Wang 2015a

Scipediacontent: Created page with " == Abstract == Far-infrared pedestrian detection approaches for advanced driver-assistance systems based on high-dimensional features fail to simultaneously achieve robust a..."

2021-02-12T13:33:50Z

Created page with " == Abstract == Far-infrared pedestrian detection approaches for advanced driver-assistance systems based on high-dimensional features fail to simultaneously achieve robust a..."

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== Abstract ==

Far-infrared pedestrian detection approaches for advanced driver-assistance systems based on high-dimensional features fail to simultaneously achieve robust and real-time detection. We propose a robust and real-time pedestrian detection system characterized by novel candidate filters, novel pedestrian features and multi-frame approval matching in a coarse-to-fine fashion. Firstly, we design two filters based on the pedestrians’ head and the road to select the candidates after applying a pedestrian segmentation algorithm to reduce false alarms. Secondly, we propose a novel feature encapsulating both the relationship of oriented gradient distribution and the code of oriented gradient to deal with the enormous variance in pedestrians’ size and appearance. Thirdly, we introduce a multi-frame approval matching approach utilizing the spatiotemporal continuity of pedestrians to increase the detection rate. Large-scale experiments indicate that the system works in real time and the accuracy has improved about 9% compared with approaches based on high-dimensional features only.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_746103743-beopen364-3542-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/s151229874 http://dx.doi.org/10.3390/s151229874] under the license https://creativecommons.org/licenses/by

* [http://europepmc.org/articles/PMC4721794 http://europepmc.org/articles/PMC4721794] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/1424-8220/15/12/29874/pdf https://www.mdpi.com/1424-8220/15/12/29874/pdf]

* [http://www.mdpi.com/1424-8220/15/12/29874 http://www.mdpi.com/1424-8220/15/12/29874],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/15/12/29874/pdf http://www.mdpi.com/1424-8220/15/12/29874/pdf],
: [http://dx.doi.org/10.3390/s151229874 http://dx.doi.org/10.3390/s151229874]

* [https://www.mdpi.com/1424-8220/15/12/29874/pdf https://www.mdpi.com/1424-8220/15/12/29874/pdf],
: [https://www.mdpi.com/1424-8220/15/12/29874 https://www.mdpi.com/1424-8220/15/12/29874],
: [https://dblp.uni-trier.de/db/journals/sensors/sensors15.html#WangL15 https://dblp.uni-trier.de/db/journals/sensors/sensors15.html#WangL15],
: [http://europepmc.org/articles/PMC4721794 http://europepmc.org/articles/PMC4721794],
: [https://core.ac.uk/display/89231189 https://core.ac.uk/display/89231189],
: [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721794 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721794],
: [https://doi.org/10.3390/s151229874 https://doi.org/10.3390/s151229874],
: [https://trid.trb.org/view/1409301 https://trid.trb.org/view/1409301],
: [https://academic.microsoft.com/#/detail/2214533396 https://academic.microsoft.com/#/detail/2214533396] under the license https://creativecommons.org/licenses/by/4.0/

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Liu Wang 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 746103743 to Liu Wang 2015a

Scipediacontent: Created page with " == Abstract == Far-infrared pedestrian detection approaches for advanced driver-assistance systems based on high-dimensional features fail to simultaneously achieve robust a..."