Scipediacontent: Scipediacontent moved page Draft Content 711499488 to Stechele et al 2018a

2021-02-03T20:14:44Z

Scipediacontent moved page Draft Content 711499488 to Stechele et al 2018a

Scipediacontent: Created page with " == Abstract == Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefull..."

2021-02-03T20:14:41Z

Created page with " == Abstract == Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefull..."

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== Abstract ==

Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local pixel-level changes caused by the movement in a scene at the time they occur. This results in advantageous characteristics, in terms of low energy consumption, high dynamic range, sparse event stream, and low response latency, which can be very useful in intelligent perception systems for modern intelligent transportation system (ITS) that requires efficient wireless data communication and low power embedded computing resources. In this paper, we propose the first neuromorphic vision based multivehicle detection and tracking system in ITS. The performance of the system is evaluated with a dataset recorded by a neuromorphic vision sensor mounted on a highway bridge. We performed a preliminary multivehicle tracking-by-clustering study using three classical clustering approaches and four tracking approaches. Our experiment results indicate that, by making full use of the low latency and sparse event stream, we could easily integrate an online tracking-by-clustering system running at a high frame rate, which far exceeds the real-time capabilities of traditional frame-based cameras. If the accuracy is prioritized, the tracking task can also be performed robustly at a relatively high rate with different combinations of algorithms. We also provide our dataset and evaluation approaches serving as the first neuromorphic benchmark in ITS and hopefully can motivate further research on neuromorphic vision sensors for ITS solutions.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_711499488-beopen6876-9426-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2018/4815383.pdf http://downloads.hindawi.com/journals/jat/2018/4815383.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/4815383 http://dx.doi.org/10.1155/2018/4815383] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/4815383.pdf http://downloads.hindawi.com/journals/jat/2018/4815383.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/4815383.xml http://downloads.hindawi.com/journals/jat/2018/4815383.xml],
: [http://dx.doi.org/10.1155/2018/4815383 http://dx.doi.org/10.1155/2018/4815383] under the license http://creativecommons.org/licenses/by/4.0

* [http://downloads.hindawi.com/journals/jat/2018/4815383.pdf http://downloads.hindawi.com/journals/jat/2018/4815383.pdf],
: [https://www.hindawi.com/journals/jat/2018/4815383 https://www.hindawi.com/journals/jat/2018/4815383],
: [http://www.diva-portal.org/smash/record.jsf?pid=diva2:1274863 http://www.diva-portal.org/smash/record.jsf?pid=diva2:1274863],
: [http://mediatum.ub.tum.de/node?id=1520784 http://mediatum.ub.tum.de/node?id=1520784],
: [https://academic.microsoft.com/#/detail/2902709485 https://academic.microsoft.com/#/detail/2902709485] under the license http://creativecommons.org/licenses/by/4.0/

* [http://dx.doi.org/10.1155/2018/4815383 http://dx.doi.org/10.1155/2018/4815383],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195]

* [http://mediatum.ub.tum.de/node?id=1487917 http://mediatum.ub.tum.de/node?id=1487917],
: [http://mediatum.ub.tum.de/doc/1487917/document.pdf http://mediatum.ub.tum.de/doc/1487917/document.pdf],
: [http://dx.doi.org/10.1155/2018/4815383 http://dx.doi.org/10.1155/2018/4815383]

* [ ]

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Scipediacontent: Scipediacontent moved page Draft Content 711499488 to Stechele et al 2018a

Scipediacontent: Created page with " == Abstract == Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefull..."