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Automatic detection, tracking and counting of birds in marine video content

Roeland T'Jampens, Francisco Hernandez, Florian Vandecasteele UGent and Steven Verstockt UGent (2016) 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA). In International Conference on Image Processing Theory Tools and Applications p.1-6
abstract
Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the development of a stable background model. Moreover, camera motion, reflections, lightning and illumination changes may contribute to false detections. Dynamic background subtraction (DBGS) is widely considered as a solution to tackle this issue in the scope of vessel detection for maritime traffic analysis. In this paper, the DBGS techniques suggested for ships are investigated and optimized for the monitoring and tracking of birds in marine video content. In addition to background subtraction, foreground candidates are filtered by a classifier based on their feature descriptors in order to remove non-bird objects. Different types of classifiers have been evaluated and results on a ground truth labeled dataset of challenging video fragments show similar levels of precision and recall of about 95% for the best performing classifier. The remaining foreground items are counted and birds are tracked along the video sequence using spatio-temporal motion prediction. This allows marine scientists to study the presence and behavior of birds.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
keyword
IBCN
in
2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA)
series title
International Conference on Image Processing Theory Tools and Applications
pages
1 - 6
place of publication
Dec 12-15, 2016
conference name
6th International Conference on Image Processing Theory, Tools and Applications (IPTA)
conference location
Oulu, FINLAND
conference start
2016-12-12
conference end
2016-12-15
Web of Science type
Proceedings Paper
Web of Science id
000393589800083
ISSN
2154-512X
ISBN
978-1-4673-8910-5
language
English
UGent publication?
yes
classification
P1
id
8521033
handle
http://hdl.handle.net/1854/LU-8521033
date created
2017-05-22 09:04:18
date last changed
2017-05-24 07:22:23
@inproceedings{8521033,
  abstract     = {Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the development of a stable background model. Moreover, camera motion, reflections, lightning and illumination changes may contribute to false detections. Dynamic background subtraction (DBGS) is widely considered as a solution to tackle this issue in the scope of vessel detection for maritime traffic analysis. In this paper, the DBGS techniques suggested for ships are investigated and optimized for the monitoring and tracking of birds in marine video content. In addition to background subtraction, foreground candidates are filtered by a classifier based on their feature descriptors in order to remove non-bird objects. Different types of classifiers have been evaluated and results on a ground truth labeled dataset of challenging video fragments show similar levels of precision and recall of about 95\% for the best performing classifier. The remaining foreground items are counted and birds are tracked along the video sequence using spatio-temporal motion prediction. This allows marine scientists to study the presence and behavior of birds.},
  author       = {T'Jampens, Roeland and Hernandez, Francisco and Vandecasteele, Florian and Verstockt, Steven},
  booktitle    = {2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA)},
  isbn         = {978-1-4673-8910-5},
  issn         = {2154-512X},
  keyword      = {IBCN},
  language     = {eng},
  location     = {Oulu, FINLAND},
  pages        = {1--6},
  title        = {Automatic detection, tracking and counting of birds in marine video content},
  year         = {2016},
}

Chicago
T’Jampens, Roeland, Francisco Hernandez, Florian Vandecasteele, and Steven Verstockt. 2016. “Automatic Detection, Tracking and Counting of Birds in Marine Video Content.” In 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 1–6. Dec 12-15, 2016.
APA
T’Jampens, R., Hernandez, F., Vandecasteele, F., & Verstockt, S. (2016). Automatic detection, tracking and counting of birds in marine video content. 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA) (pp. 1–6). Presented at the 6th International Conference on Image Processing Theory, Tools and Applications (IPTA), Dec 12-15, 2016.
Vancouver
1.
T’Jampens R, Hernandez F, Vandecasteele F, Verstockt S. Automatic detection, tracking and counting of birds in marine video content. 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA). Dec 12-15, 2016; 2016. p. 1–6.
MLA
T’Jampens, Roeland, Francisco Hernandez, Florian Vandecasteele, et al. “Automatic Detection, Tracking and Counting of Birds in Marine Video Content.” 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA). Dec 12-15, 2016, 2016. 1–6. Print.