Centroid based person detection using pixelwise prediction of the position

Doležel, Petr; Škrabánek, Pavel; Štursa, Dominik; Zanón, Bruno Baruque; Cogollos-Adrián, Héctor; Kryda, Pavel

doi:10.1016/j.jocs.2022.101760

Cited by 4 publications

(9 citation statements)

References 27 publications

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“…Three centroid‐based object detectors (Dolezel et al, 2022 ), which return the coordinates of scale centroids, form the core of the scale counting system (Figure S1 ). The scale detectors utilize localization maps generated using U‐Net models (Ronneberger et al, 2015 ).…”

Section: Methodsmentioning

confidence: 99%

“…The target scales in the maps are represented as circles with centroids placed at coordinates corresponding to the centers of the scales. The circle circumferences represent the borders of nonzero values in the maps, where values at the centroid coordinates are at one, and the values within a circle decrease to zero with increasing distance from the circle centroid (Dolezel et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…We trained and validated the U‐Net models on a set of 227 expert‐annotated photographs, following the recommended training–validation procedure (Dolezel et al, 2022 ). The annotator marked a center of each target scale in each photograph.…”

Section: Methodsmentioning

confidence: 99%

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High predation risk decimates survival during the reproduction season

Smolinský

Hiadlovská

Marsala

et al. 2022

Ecology and Evolution

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Predators attack conspicuous prey phenotypes that are present in the environment. Male display behavior of conspicuous nuptial coloration becomes risky in the presence of a predator, and adult males face higher predation risk. High predation risk in one sex will lead to low survival and sex ratio bias in adult cohorts, unless the increased predation risk is compensated by higher escape rate. Here, we tested the hypothesis that sand lizards ( Lacerta agilis ) have sex‐specific predation risk and escape rate. We expected the differences to manifest in changes in sex ratio with age, differences in frequency of tail autotomy, and in sex‐specific survival rate. We developed a statistical model to estimate predation risk and escape rate, combining the observed sex ratio and frequency of tail autotomy with likelihood‐based survival rate. Using Bayesian framework, we estimated the model parameters. We projected the date of the tail autotomy events from growth rates derived from capture–recapture data measurements. We found statistically stable sex ratio in age groups, equal frequency of tail regenerates between sexes, and similar survival rate. Predation risk is similar between sexes, and escape rate increases survival by about 5%. We found low survival rate and a low number of tail autotomy events in females during months when sand lizards mate and lay eggs, indicating high predator pressure throughout reproduction. Our data show that gravid females fail to escape predation. The risks of reproduction season in an ectotherm are a convolution of morphological changes (conspicuous coloration in males and body allometry changes in gravid females), behavior (nuptial displays), and environmental conditions which challenge lizard thermal performance. Performance of endotherm predators in cold spring months endangers gravid females more than displaying males in bright nuptial coloration.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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High predation risk decimates survival during the reproduction season

Smolinský

Hiadlovská

Marsala

et al. 2022

Ecology and Evolution

View full text Add to dashboard Cite

show abstract

“…The target scales in the maps are represented as circles with centroids placed at coordinates corresponding to the centres of the scales. The circle circumferences represent the borders of nonzero values in the maps, where values at the centroid coordinates are at one, and the values within a circle decrease to zero with increasing distance from the circle centroid (Dolezel et al 2022).…”

Section: Methodsmentioning

confidence: 99%

“…We trained and validated the U-Net models on a set of 227 expertannotated photos, following the recommended training-validation procedure (Dolezel et al 2022). The annotator marked a centre of each target scale in each photo.…”

Section: Methodsmentioning

confidence: 99%

High predation risk decimates survival during the reproduction season

Smolinský

Hiadlovská

Marsala

et al. 2022

Preprint

Self Cite

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Predators attack conspicuous prey phenotypes that are abundant in the environment. Male display behaviour of conspicuous nuptial colouration becomes risky in the presence of a predator, and adult males face higher predation risk. High predation risk in one sex will lead to low survival and sex ratio bias in adult cohorts, unless the increased predation risk is compensated by higher escape rate. Here, we tested the hypothesis that sand lizards (Lacerta agilis) have sex-specific predation risk and escape rate. We found statistically stable sex ratio in age groups, equal frequency of tail regenerates between sexes, and similar survival rate. Predation risk is similar between sexes, and escape rate increases survival by about 5%. We found low survival rate and a low number of tail autotomy events during the months when sand lizard females mate and lay eggs, indicating high predator pressure throughout reproduction, when females fail to escape predation. The risky reproduction season in an ectotherm is a convolution of morphological changes (conspicuous colouration in males, body allometry changes in gravid females), behaviour (nuptial displays), and environmental conditions which challenge lizard thermal performance, favouring performance of endotherm predators in cold spring months.

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Transfer Learning-Based Center-of-Mass Positioning Methods for Cultural Relics

He,

Wei,

Gong

et al. 2024

IEEE Access

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In order to address the problem of incomplete data set of real seismic impact of cultural relics in collections, we propose a small sample set oriented center-of-mass positioning method to solve the centerof-mass attribute of cultural relics ontology. First, the method combines the cultural relics image data to construct a deep feature fusion cultural relics ontology recognition model, which extracts and learns the cultural relics image features through multi-layer feature extraction, global information perception and ontology fusion recognition, so as to realize the efficient and accurate recognition of the cultural relic's ontology. Then, the parameter synchronous migration learning method is designed to train and initialize the model, and the data migration strategy of semi-supervised learning is used to retrain the model using the public dataset and the cultural relic image data, to achieve the fine-tuning of the model parameters to improve the accuracy of the cultural relic ontology recognition. Finally, the center-of-mass positioning method is designed to integrate the attention mechanism with the quality of relics and other ontological attributes, and the segmentation of the relic's ontology region is achieved by rectangular stereo fitting and the calculation of the center-of-mass points. At the same time, the fusion self-attention mechanism is used to adjust the regional center-of-mass weights to achieve weighted positioning of the center-of-mass position of the cultural relics. The experimental results show that the present method achieves the best Dice, Acc and MIoU metrics in comparison with various classical models, with improvements of 8.3%, 5.1% and 3.4% respectively. The overall center-of-mass offset of cultural relics is less than 2%, which can achieve accurate identification and center-of-mass positioning of the cultural relics body, fully improve the seismic impact dataset of cultural relics, and enhance the ability of preventive protection of cultural relics against earthquakes.

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Centroid based person detection using pixelwise prediction of the position

Cited by 4 publications

References 27 publications

High predation risk decimates survival during the reproduction season

High predation risk decimates survival during the reproduction season

High predation risk decimates survival during the reproduction season

Transfer Learning-Based Center-of-Mass Positioning Methods for Cultural Relics

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