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A Fast Baseline System for Large Scale Bird Identification

Iván Vladimir Meza Ruíz, Adrian Espino Gamez, Frine A. Sonalo Hernandez, Toaki Esaú Villareal Olvera
2015 Conference and Labs of the Evaluation Forum  
We present a description of our approach for the "Bird task Identification LifeCLEF 2015".  ...  Our approach consists of a baseline system based on the classification of Mel-bands representations of bird singing using a random forest classification.  ...  for the identification of bird species through singing.  ... 
dblp:conf/clef/RuizGHO15 fatcat:5j2xl6opxbfavkj3xlx6olcwyq

Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System [article]

Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
2018 arXiv   pre-print
We present a baseline system using convolutional neural networks.  ...  Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders.  ...  We want to thank Jan Schlüter (OFAI) for his valuable feedback and kind advice.  ... 
arXiv:1804.07177v1 fatcat:aj7epf2rpbfftd5gmfour52spq

Bird species identification based on timbre and pitch features

Wei-Ho Tsai, Yeong-Yuh Xu, Wei-Cheng Lin
2013 2013 IEEE International Conference on Multimedia and Expo (ICME)  
To help people learn to identify bird species, this study proposes an automatic bird sound identification system.  ...  Considering bird vocalization can be generally divided into two categories, namely call and song, the proposed system is built upon a two-stage identification framework.  ...  Such a system could serve as a baseline system for performance comparison purposes, as most of the existing bird sound identification methods are based on this framework.  ... 
doi:10.1109/icme.2013.6607576 dblp:conf/icmcs/TsaiXL13 fatcat:gkwzniuytbbtxiyrp5iqldbo5a

Efficient Object Detection and Segmentation for Fine-Grained Recognition

Anelia Angelova, Shenghuo Zhu
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
Apart from segmenting the object, we can also 'zoom in' on the object, i.e. center it, normalize it for scale, and thus discount the effects of the background.  ...  , e.g. birds species.  ...  The collection of the large-scale 578-class flower dataset would not have been possible without their critical expertise in flower identification. We also thank Dr.  ... 
doi:10.1109/cvpr.2013.110 dblp:conf/cvpr/AngelovaZ13 fatcat:qz6m5sey5rfadfkqdfpp5vbnzq

A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains

Thomas Heitzinger, Martin Kampel
2021 British Machine Vision Conference  
To address these issues, we present a foundation for identity-preserving 3D human behavior analysis. Our main contributions are a fast 3D detection system and a public multimodal dataset.  ...  The introduced detection system uses an innovative target assignment scheme to significantly improve performance, especially in challenging scenes with a large number of person-person and person-object  ...  [3] which presents a large-scale synthetic database using human motion captures of fall and related events.  ... 
dblp:conf/bmvc/HeitzingerK21 fatcat:mojsm2fnbzhi7juyplkzpo67zu

The ICES Census of the Fishes Workshop

Colin Bannister
1999 Oceanography  
For animals which are too large, too small, too fast, or too fragile to be caught in nets we know almost nothing, except for a few observations from manned submersibles.  ...  , multi-beam acoustics, sub-meter scale sensors, For animals which are too large, too small, too Snst, or too fragile to be caught in nets we know almost nothing, except for a few observations from manned  ... 
doi:10.5670/oceanog.1999.06 fatcat:xvesdzv6nnf2liy5ufk3msg2om

Comprehensive Bird Preservation at Wind Farms

Dawid Gradolewski, Damian Dziak, Milosz Martynow, Damian Kaniecki, Aleksandra Szurlej-Kielanska, Adam Jaworski, Wlodek J. Kulesza
2021 Sensors  
Researchers estimated that in the U.S. up to 500,000 birds die annually due to collisions with wind turbines. This article proposes a system for mitigating bird mortality around wind farms.  ...  This proposal includes a bird detection method and localization procedure. The bird identification is carried out using artificial intelligence algorithms.  ...  Data Availability Statement: Presented data accessible for authorised staff accordingly to local regulation.  ... 
doi:10.3390/s21010267 pmid:33401575 pmcid:PMC7795295 fatcat:fwqe46xn5bazze6ipzbz7bjqdi

Fine-grained object recognition in underwater visual data

C. Spampinato, S. Palazzo, P. H. Joalland, S. Paris, H. Glotin, K. Blanc, D. Lingrand, F. Precioso
2015 Multimedia tools and applications  
We then resort to a label propagation method able to transfer the labels from the MA-35K to a set of 20 million fish images in order to achieve variability in fish appearance.  ...  Together with the fine-grained visual dataset release, we also present two approaches for fish species classification in, respectively, still images and videos.  ...  Form recall performance, it is possible to notice that the fast LTP approach (1-layer architecture) outperforms the baseline by a large margin (except for the first specie), i.e..  ... 
doi:10.1007/s11042-015-2601-x fatcat:hxf2xw6thzagfnrlti3qibfufq

Webcams for Bird Detection and Monitoring: A Demonstration Study

Willem W. Verstraeten, Bart Vermeulen, Jan Stuckens, Stefaan Lhermitte, Dimitry Van der Zande, Marc Van Ranst, Pol Coppin
2010 Sensors  
Better insights into bird migration can be a tool for assessing the spread of avian borne infections or ecological/climatologic issues reflected in deviating migration patterns.  ...  The results of the experiment revealed the minimum size, maximum velocity and contrast of the objects required for detection by a standard webcam.  ...  A variable baseline stereo tracking vision system was designed by [45] .  ... 
doi:10.3390/s100403480 pmid:22319308 pmcid:PMC3274229 fatcat:idfza6uzmbfj7hfsuuej2de7yq

SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection

Zhenfeng Shao, Wenjing Wu, Zhongyuan Wang, Wan Du, Chengyuan Li
2018 IEEE transactions on multimedia  
In this paper, we introduce a new large-scale dataset of ships, called SeaShips, which is designed for training and evaluating ship object detection algorithms.  ...  results for researchers using the dataset; and 3) make a comparison to identify the strengths and weaknesses of the baseline algorithms.  ...  However, since convent is a data-driven approach, its ship detection performance has to rely on large-scale high-quality training dataset.  ... 
doi:10.1109/tmm.2018.2865686 fatcat:qvlyc4ncybf4tkyvtdp5wnem7m

Regulation of Breeding Behavior: Do Energy-Demanding Periods Induce a Change in Prolactin or Corticosterone Baseline Levels in the Common Tern (Sterna hirundo)?

Juliane Riechert, Olivier Chastel, Peter H. Becker
2014 Physiological and Biochemical Zoology  
In a second approach, we sampled 57 other pairs (experienced and inexperienced birds) three times over their individual breeding period, because reproduction, especially chick rearing, is a very energy-demanding  ...  In line with the common physiological pattern of fasting, we found significantly lower baseline prolactin values in hungry terns, which were negatively related to mass loss over the incubation bout, whereas  ...  Trauernicht for technical support. At the Centre d'Etudes Biologiques de Chizé, we thank A. Lacroix and C. Trouvé for their excellent technical assistance in hormone assays. We thank Dr. A. F.  ... 
doi:10.1086/675682 pmid:24769706 fatcat:23fb7st3grgrtorw3luql25xwa

Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images [article]

Miroslav Valan, Lukáš Picek
2020 arXiv   pre-print
By utilizing such a simple, yet effective baseline we were able to avoid over-fitting without extensive regularization techniques and to train a top scoring system on a very limited hardware featuring  ...  In this article we are proposing an easy, accessible, light-weight, fast and efficient approach based on our winning submission to the "Hakuna Ma-data - Serengeti Wildlife Identification challenge".  ...  fast in terms of both training and inference time.  ... 
arXiv:2008.07828v1 fatcat:lswpggoke5gmnhye4e4xym2yiq

Audio-based Bird Species Identification with Deep Convolutional Neural Networks

Mario Lasseck
2018 Conference and Labs of the Evaluation Forum  
This paper presents deep learning techniques for audio-based bird identification at very large scale. Deep Convolutional Neural Networks (DCNNs) are fine-tuned to classify 1500 species.  ...  The proposed approach is evaluated in the BirdCLEF 2018 campaign and provides the best system in all subtasks.  ...  I especially want to thank Elias Sprengel for sharing his knowledge and the fruitful cooperation during the bird detection challenge [21] .  ... 
dblp:conf/clef/Lasseck18 fatcat:6sibxut2dvgt7h246ayf5psxcq

Short Bouts of Vocalization Induce Long-Lasting Fast Gamma Oscillations in a Sensorimotor Nucleus

B. C. Lewandowski, M. Schmidt
2011 Journal of Neuroscience  
Performance evaluation is a critical feature of motor learning. In the vocal system, it requires the integration of auditory feedback signals with vocal motor commands.  ...  Recording from NIf, a sensorimotor structure in the avian song system, we show that short bouts of singing in adult male zebra finches (Taeniopygia guttata) induce persistent increases in firing activity  ...  on a fixed time scale in the fast gamma range.  ... 
doi:10.1523/jneurosci.6809-10.2011 pmid:21957255 pmcid:PMC3196533 fatcat:b7lkaekk5faifcbqrr5xql5bj4

Temporal Studies of Supergiant Fast X-ray Transients [article]

S. P. Drave, A. J. Bird, D. J. Clark, V. A. McBride, A. B. Hill, V. Sguera, S. Scaringi, A. Bazzano, L. J. Townsend
2011 arXiv   pre-print
SFXTs are a new class of HMXB unveiled by INTEGRAL. They are extreme systems characterised by very short outbursts (a few hours) and extreme X-ray luminosity dynamic ranges ( 10^4).  ...  Ten confirmed systems are currently known and have shown parallels with both Sg-XRBs and Be-XRBs.  ...  Using long term INTEGRAL/IBIS lightcurves Bird et al. [15] detected a period of 30±0.1 d in the SAX J1818.6−1703 system.  ... 
arXiv:1105.0609v1 fatcat:qpsvavaj5zba3kamvfw7puxehi
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