| Records |
Author  |
Penny Tarling; Mauricio Cantor; Albert Clapes; Sergio Escalera |
| Title |
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images |
Type |
Journal Article |
| Year |
2022 |
Publication |
PloS One |
Abbreviated Journal |
Plos |
| Volume |
17 |
Issue |
5 |
Pages |
e0267759 |
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| Abstract |
Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data collection cheaper, wide-reaching and less intrusive but created a need to process and analyse this data efficiently. Counting animals from such data is challenging, particularly when densely packed in noisy images. Attempting this manually is slow and expensive, while traditional computer vision methods are limited in their generalisability. Deep learning is the state-of-the-art method for many computer vision tasks, but it has yet to be properly explored to count animals. To this end, we employ deep learning, with a density-based regression approach, to count fish in low-resolution sonar images. We introduce a large dataset of sonar videos, deployed to record wild Lebranche mullet schools (Mugil liza), with a subset of 500 labelled images. We utilise abundant unlabelled data in a self-supervised task to improve the supervised counting task. For the first time in this context, by introducing uncertainty quantification, we improve model training and provide an accompanying measure of prediction uncertainty for more informed biological decision-making. Finally, we demonstrate the generalisability of our proposed counting framework through testing it on a recent benchmark dataset of high-resolution annotated underwater images from varying habitats (DeepFish). From experiments on both contrasting datasets, we demonstrate our network outperforms the few other deep learning models implemented for solving this task. By providing an open-source framework along with training data, our study puts forth an efficient deep learning template for crowd counting aquatic animals thereby contributing effective methods to assess natural populations from the ever-increasing visual data. |
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Public Library of Science |
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HuPBA |
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no |
| Call Number |
Admin @ si @ TCC2022 |
Serial |
3743 |
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| Author |
Petia Radeva |
| Title |
A Rule-Based Approach to Hand X-Ray image Segmentation. |
Type |
Miscellaneous |
| Year |
1993 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ Rad1993a |
Serial |
171 |
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| Author |
Petia Radeva |
| Title |
Segmentacion de Imagenes Radiograficas con Snakes. Aplicacion a la Determinacion de la Madurez Osea. |
Type |
Miscellaneous |
| Year |
1993 |
Publication |
Master Thesis, UPPIA, Universitat Autonoma de Barcelona. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ Rad1993b |
Serial |
173 |
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| Author |
Petia Radeva |
| Title |
On the Role of Intravascular Ultrasound Image Analysis |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Angiography and Plaque Imaging: Advanced Segmentation Techniques, CRC, pp.397–450, ISBN: 0849317401 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ Rad2003 |
Serial |
402 |
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| Author |
Petia Radeva |
| Title |
Can Deep Learning and Egocentric Vision for Visual Lifelogging Help Us Eat Better? |
Type |
Conference Article |
| Year |
2016 |
Publication |
19th International Conference of the Catalan Association for Artificial Intelligence |
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4 |
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Barcelona; October 2016 |
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Conference |
CCIA |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ Rad2016 |
Serial |
2832 |
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| Author |
Petia Radeva |
| Title |
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis |
Type |
Conference Article |
| Year |
2020 |
Publication |
1st DELTA |
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DELTA |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ Rad2020 |
Serial |
3527 |
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| Author |
Petia Radeva; A.Amini; J.Huang; Enric Marti |
| Title |
Deformable B-Solids and Implicit Snakes for Localization and Tracking of SPAMM MRI-Data |
Type |
Conference Article |
| Year |
1996 |
Publication |
Workshop on Mathematical Methods in Biomedical Image Analysis |
Abbreviated Journal |
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Issue |
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Pages |
192-201 |
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| Abstract |
To date, MRI-SPAMM data from different image slices have been analyzed independently. In this paper, we propose an approach for 3D tag localization and tracking of SPAMM data by a novel deformable B-solid. The solid is defined in terms of a 3D tensor product B-spline. The isoparametric curves of the B-spline solid have special importance. These are termed implicit snakes as they deform under image forces from tag lines in different image slices. The localization and tracking of tag lines is performed under constraints of continuity and smoothness of the B-solid. The framework unifies the problems of localization, and displacement fitting and interpolation into the same procedure utilizing B-spline bases for interpolation. To track motion from boundaries and restrict image forces to the myocardium, a volumetric model is employed as a pair of coupled endocardial and epicardial B-spline surfaces. To recover deformations in the LV an energy-minimization problem is posed where both tag and ... |
| Address |
San Francisco CA |
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| Publisher |
IEEE Computer Society |
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0-8186-7368-0 |
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Conference |
MMBIA ’96 |
| Notes |
MILAB;IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ RAH1996 |
Serial |
1630 |
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| Author |
Petia Radeva; A.F. Sole; Antonio Lopez; Joan Serrat |
| Title |
Detecting Nets of Linear Structures in Satellite Images. |
Type |
Miscellaneous |
| Year |
1998 |
Publication |
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Londres |
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ADAS;MILAB |
Approved |
no |
| Call Number |
ADAS @ adas @ RSL1998 |
Serial |
25 |
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| Author |
Petia Radeva; A.F. Sole; Antonio Lopez; Joan Serrat |
| Title |
Detecting Nets of Linear Structures in Satellite Images. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Machine Vision and Advanced Image Processing in Remote Sensing, Springer, 304–316. |
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ADAS;MILAB |
Approved |
no |
| Call Number |
ADAS @ adas @ RSL1999 |
Serial |
34 |
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| Author |
Petia Radeva; Amir Amini; Jintao Huang; Enric Marti |
| Title |
Deformable B-Solids: application for localization and tracking of MRI-SPAMM data |
Type |
Report |
| Year |
1996 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
8 |
Pages |
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| Keywords |
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| Abstract |
To date, MRI-SPAMM data from different image slices have been analyzed independently. In this paper, we propose an approach for 3D tag localization and tracking of SPAMM data by a novel deformable B-solid. The solid is defined in terms of a 3D tensor product B-spline. The isoparametric curves of the B-spline solid have special importance. These are termed implicit snakes as they deform under image forces from tag lines in different image slices. The localization and tracking of tag lines is performed under constraints of continuity and smoothness of the B-solid. The framework unifies the problems of localization, and displacement fitting and interpolation into the same procedure utilizing B-spline bases for interpolation. To track motion from boundaries and restrict image forces to the myocardium, a volumetric model is employed as a pair of coupled endocardial and epicardial B-spline surfaces. To recover deformations in the LV an energy-minimization problem is posed where both tag and ... |
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CVC (UAB) |
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| Notes |
MILAB;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ RHM1996 |
Serial |
1631 |
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| Author |
Petia Radeva; Cristina Cañero; Juan J. Villanueva; J. Mauri; E Fernandez-Nofrerias |
| Title |
3D Reconstruction of a Stent by Deformable Models. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Proceedings of the IASTED International Conference, Visualization, Imaging and Image Processing, 417–422. |
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Marbella. |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RCV2001 |
Serial |
158 |
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| Author |
Petia Radeva; Enric Marti |
| Title |
Facial Features Segmentation by Model-Based Snakes. |
Type |
Miscellaneous |
| Year |
1995 |
Publication |
Trobada de Joves Investigadors, IIIA. |
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Bellaterra (Barcelona), Spain |
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| Notes |
MILAB; IAM |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RaM1995a |
Serial |
130 |
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| Author |
Petia Radeva; Enric Marti |
| Title |
An improved model of snakes for model-based segmentation |
Type |
Conference Article |
| Year |
1995 |
Publication |
Proceedings of Computer Analysis of Images and Patterns |
Abbreviated Journal |
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Issue |
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Pages |
515-520 |
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| Abstract |
The main advantage of segmentation by snakes consists in its ability to incorporate smoothness constraints on the detected shapes that can occur. Likewise, we propose to model snakes with other properties that reflect the information provided about the object of interest in a different extent. We consider different kinds of snakes, those searching for contours with a certain direction, those preserving an object’s model, those seeking for symmetry, those expanding open, etc. The availability of such a collection of snakes allows not only the more complete use of the knowledge about the segmented object, but also to solve some problems of the existing snakes. Our experiments on segmentation of facial features justify the usefulness of snakes with different properties. |
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Conference |
CAIP |
| Notes |
MILAB;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ RaM1995b |
Serial |
1632 |
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| Author |
Petia Radeva; Enric Marti |
| Title |
Facial Features Segmentation by Model-Based Snakes |
Type |
Conference Article |
| Year |
1995 |
Publication |
International Conference on Computing Analysis and Image Processing |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models. |
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Bellaterra (Barcelona), Spain |
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MILAB;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ RAM1995a |
Serial |
1633 |
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| Author |
Petia Radeva; J. Guerrero; C. Molina |
| Title |
A Physics-Based Kohonen Ring. |
Type |
Miscellaneous |
| Year |
1998 |
Publication |
SPIE – Medical Imaging. |
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San Diego; CA; USA |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RGM1998 |
Serial |
19 |
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