Scipediacontent: Scipediacontent moved page Draft Content 596090231 to Smedt et al 2018a

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Scipediacontent moved page Draft Content 596090231 to Smedt et al 2018a

Scipediacontent: Created page with " == Abstract == traditional re-identification pipeline consists of a detection and re-identification step, i.e. a person detector is run on an input image to get a cutout wh..."

2021-02-03T17:16:07Z

Created page with " == Abstract == traditional re-identification pipeline consists of a detection and re-identification step, i.e. a person detector is run on an input image to get a cutout wh..."

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== Abstract ==

traditional re-identification pipeline consists of a detection and re-identification step, i.e. a person detector is run on an input image to get a cutout which is then sent to a separate re-identification system. In this work we combine detection and re-identification into one single pass neural network. We propose an architecture that can do re-identification simultaneously with detection and classification. The effect of our modification has only a negligible impact on detection accuracy, and adds the calculation of re-identification vectors at virtually no cost. The resulting re-identification vector is strong enough to be used in speed sensitive applications which can benefit from an additional re-identification vector in addition to detection. We demonstrate this by using it as detection and re-identification input for a real-time person tracker. Moreover, unlike traditional detection + re-id pipelines our single-pass network’s computational cost is not dependent on the number of people in the image. ispartof: pages:49-54 ispartof: IEEE International Conference on Advanced Video and Signal-based Surveillance pages:49-54 ispartof: 15th IEEE International Conference on Advanced Video and Signal-based Surveillance location:Auckland, New Zealand date:27 Nov - 30 Nov 2018 status: published

== Original document ==

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

* [https://lirias.kuleuven.be/handle/123456789/627123 https://lirias.kuleuven.be/handle/123456789/627123]

* [http://xplorestaging.ieee.org/ielx7/8637085/8639076/08639489.pdf?arnumber=8639489 http://xplorestaging.ieee.org/ielx7/8637085/8639076/08639489.pdf?arnumber=8639489],
: [http://dx.doi.org/10.1109/avss.2018.8639489 http://dx.doi.org/10.1109/avss.2018.8639489]

* [https://lirias.kuleuven.be/retrieve/516921 https://lirias.kuleuven.be/retrieve/516921],
: [https://dblp.uni-trier.de/db/conf/avss/avss2018.html#RanstSBG18 https://dblp.uni-trier.de/db/conf/avss/avss2018.html#RanstSBG18],
: [https://lirias.kuleuven.be/2135641 https://lirias.kuleuven.be/2135641],
: [https://academic.microsoft.com/#/detail/2911758736 https://academic.microsoft.com/#/detail/2911758736]

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Smedt et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 596090231 to Smedt et al 2018a

Scipediacontent: Created page with " == Abstract == traditional re-identification pipeline consists of a detection and re-identification step, i.e. a person detector is run on an input image to get a cutout wh..."