This projects deals with vision-based person re-identification to measure queue times in, e.g., an airport. The primary goal of this project is to develop very discriminative features to distinguish persons that have been captured by non-overlapping cameras. Having cameras located at the queue entrance and exit, features from the corresponding views can be matched to find the time from a person entered the queue to leaving.
Effektiv start/slut dato01/01/201731/12/2019


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Person Re-identification Using Spatial and Layer-Wise Attention

Lejbølle, A. R., Nasrollahi, K., Krogh, B. & Moeslund, T. B., 5 sep. 2019, I : I E E E Transactions on Information Forensics and Security. 15, s. 1216 - 1231 16 s., 8826013.

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    Attention in Multimodal Neural Networks for Person Re-identification

    Lejbølle, A. R., Krogh, B., Nasrollahi, K. & Moeslund, T. B., jun. 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, s. 292-300 9 s. (IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)).

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  • 2 Citationer (Scopus)
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