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DOLEŽEL, P. ŠKRABÁNEK, P. ŠTURSA, D. BARUQUE ZANON, B. COGOLLOS ADRIAN, H. KRÝDA, P.
Originální název
Centroid based person detection using pixelwise prediction of the position
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Implementations of person detection in tracking and counting systems tend towards processing of orthogonally captured images on edge computing devices. The ellipse-like shape of heads in orthogonally captured images inspired us to predict head centroids to determine positions of persons in images. We predict the centroids using a fully convolutional network (FCN). We combine the FCN with simple image processing operations to ensure fast inference of the detector. We experiment with the size of the FCN output to further decrease the inference time. We compare the proposed centroid-based detector with bounding box-based detectors on head detection task in terms of the inference time and the detection performance. We propose a performance measure which allows quantitative comparison of the two detection approaches. For the training and evaluation of the detectors, we form original datasets of 8000 annotated images, which are characterized by high variability in terms of lighting conditions, background, image quality, and elevation profile of scenes. We propose an approach which allows simultaneous annotation of the images for both bounding box-based and centroid-based detection. The centroid-based detector shows the best detection performance while keeping edge computing standards.
Klíčová slova
Persondetection; Fullyconvolutionalnetworks; Performancemeasure; Edgecomputing; Computervision
Autoři
DOLEŽEL, P.; ŠKRABÁNEK, P.; ŠTURSA, D.; BARUQUE ZANON, B.; COGOLLOS ADRIAN, H.; KRÝDA, P.
Vydáno
6. 7. 2022
Nakladatel
ELSEVIER
Místo
AMSTERDAM
ISSN
1877-7503
Periodikum
Journal of Computational Science
Ročník
63
Číslo
1
Stát
Nizozemsko
Strany od
Strany do
12
Strany počet
URL
https://www.sciencedirect.com/science/article/pii/S1877750322001442
Plný text v Digitální knihovně
http://hdl.handle.net/11012/208207
BibTex
@article{BUT178514, author="Petr {Doležel} and Pavel {Škrabánek} and Dominik {Štursa} and Bruno {Baruque Zanon} and Hector {Cogollos Adrian} and Pavel {Krýda}", title="Centroid based person detection using pixelwise prediction of the position", journal="Journal of Computational Science", year="2022", volume="63", number="1", pages="1--12", doi="10.1016/j.jocs.2022.101760", issn="1877-7503", url="https://www.sciencedirect.com/science/article/pii/S1877750322001442" }