Helmet use detection of tracked motorcycles using CNN-based multi-task learning.

Lin, Hanhe; Deng, Jeremiah D.; Albers, Deike; Siebert, Felix Wilhelm

doi:10.1109/access.2020.3021357

All Outputs (5)

TranSalNet: towards perceptually relevant visual saliency prediction. (2022)
Journal Article
LOU, J., LIN, H., MARSHALL, D., SAUPE, D. and LIU, H. 2022. TranSalNet: towards perceptually relevant visual saliency prediction. Neurocomputing [online], 494, pages 455-467. Available from: https://doi.org/10.1016/j.neucom.2022.04.080

Convolutional neural networks (CNNs) have significantly advanced computational modelling for saliency prediction. However, accurately simulating the mechanisms of visual attention in the human cortex remains an academic challenge. It is critical to i... Read More about TranSalNet: towards perceptually relevant visual saliency prediction..

Large-scale crowdsourced subjective assessment of picturewise just noticeable difference. (2022)
Journal Article
LIN, H., CHEN, G., JENADELEH, M., HOSU, V., REIPS, U.-D., HAMZAOUI, R. and SAUPE, D. 2022. Large-scale crowdsourced subjective assessment of picturewise just noticeable difference. IEEE transactions on circuits and systems for video technology [online], 32(9), pages 5859-5873. Available from: https://doi.org/10.1109/TCSVT.2022.3163860

The picturewise just noticeable difference (PJND) for a given image, compression scheme, and subject is the smallest distortion level that the subject can perceive when the image is compressed with this compression scheme. The PJND can be used to det... Read More about Large-scale crowdsourced subjective assessment of picturewise just noticeable difference..

Subjective image quality assessment with boosted triplet comparisons. (2021)
Journal Article
MEN, H., LIN, H., JENADELEH, M. and SAUPE, D. 2021. Subjective image quality assessment with boosted triplet comparisons. IEEE access [online], 9, pages 138939-138975. Available from: https://doi.org/10.1109/access.2021.3118295

In subjective full-reference image quality assessment, a reference image is distorted at increasing distortion levels. The differences between perceptual image qualities of the reference image and its distorted versions are evaluated, often using deg... Read More about Subjective image quality assessment with boosted triplet comparisons..

KonVid-150k: a dataset for no-reference video quality assessment of videos in-the-wild. (2021)
Journal Article
GÖTZ-HAHN, F., HOSU, V., LIN, H. and SAUPE, D. 2021. KonVid-150k: a dataset for no-reference video quality assessment of videos in-the-wild. IEEE access [online], 9, pages 72139-72160. Available from: https://doi.org/10.1109/access.2021.3077642

Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild. Deep learning approaches have had limited su... Read More about KonVid-150k: a dataset for no-reference video quality assessment of videos in-the-wild..

Helmet use detection of tracked motorcycles using CNN-based multi-task learning. (2020)
Journal Article
LIN, H., DENG, J.D., ALBERS, D. and SIEBERT, F.W. 2020. Helmet use detection of tracked motorcycles using CNN-based multi-task learning. IEEE access [online], 8, pages 162073-162084. Available from: https://doi.org/10.1109/access.2020.3021357

Automated detection of motorcycle helmet use through video surveillance can facilitate efficient education and enforcement campaigns that increase road safety. However, existing detection approaches have a number of shortcomings, such as the inabilit... Read More about Helmet use detection of tracked motorcycles using CNN-based multi-task learning..