Camera traps as sensor networks for monitoring animal communities

R.W. Kays; B. Kranstauber; P.A. Jansen; C. Carbone; M. Rowcliffe; T. Fountain; S. Tilak

doi:10.1109/LCN.2009.5355046

Camera traps as sensor networks for monitoring animal communities

R.W. Kays, B. Kranstauber, P.A. Jansen, C. Carbone, M. Rowcliffe, T. Fountain, S. Tilak

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

67 Citations (Scopus)

Abstract

Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial animal monitoring system at Barro Colorado Island, Panama. The data gathered from our camera network shows the spatio-temporal dynamics of terrestrial bird and mammal activity at the site-data relevant to immediate science questions, and long-term conservation issues. We believe that the experience gained and lessons learned during our year long deployment and testing of the camera traps are applicable to broader sensor network applications and are valuable for the advancement of the sensor network research. We suggest that the continued development of these hardware, software, and analytical tools, in concert, offer an exciting sensor-network solution to monitoring of animal populations which could realistically scale over larger areas and time spans

Original language	English
Title of host publication	Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009
Pages	811-818
DOIs	https://doi.org/10.1109/LCN.2009.5355046
Publication status	Published - 2009
Event	4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland - Duration: 20 Oct 2009 → 23 Oct 2009

Workshop

Workshop	4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland
Period	20/10/09 → 23/10/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LCN.2009.5355046

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Kays, R. W., Kranstauber, B., Jansen, P. A., Carbone, C., Rowcliffe, M., Fountain, T., & Tilak, S. (2009). Camera traps as sensor networks for monitoring animal communities. In Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009 (pp. 811-818) https://doi.org/10.1109/LCN.2009.5355046

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title = "Camera traps as sensor networks for monitoring animal communities",

abstract = "Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial animal monitoring system at Barro Colorado Island, Panama. The data gathered from our camera network shows the spatio-temporal dynamics of terrestrial bird and mammal activity at the site-data relevant to immediate science questions, and long-term conservation issues. We believe that the experience gained and lessons learned during our year long deployment and testing of the camera traps are applicable to broader sensor network applications and are valuable for the advancement of the sensor network research. We suggest that the continued development of these hardware, software, and analytical tools, in concert, offer an exciting sensor-network solution to monitoring of animal populations which could realistically scale over larger areas and time spans",

author = "R.W. Kays and B. Kranstauber and P.A. Jansen and C. Carbone and M. Rowcliffe and T. Fountain and S. Tilak",

year = "2009",

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language = "English",

isbn = "9781424444885",

pages = "811--818",

booktitle = "Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009",

note = "4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland ; Conference date: 20-10-2009 Through 23-10-2009",

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Kays, RW, Kranstauber, B, Jansen, PA, Carbone, C, Rowcliffe, M, Fountain, T & Tilak, S 2009, Camera traps as sensor networks for monitoring animal communities. in Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009. pp. 811-818, 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20/10/09. https://doi.org/10.1109/LCN.2009.5355046

Camera traps as sensor networks for monitoring animal communities. / Kays, R.W.; Kranstauber, B.; Jansen, P.A. et al.

Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009. 2009. p. 811-818.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

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AU - Kays, R.W.

AU - Kranstauber, B.

AU - Jansen, P.A.

AU - Carbone, C.

AU - Rowcliffe, M.

AU - Fountain, T.

AU - Tilak, S.

PY - 2009

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N2 - Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial animal monitoring system at Barro Colorado Island, Panama. The data gathered from our camera network shows the spatio-temporal dynamics of terrestrial bird and mammal activity at the site-data relevant to immediate science questions, and long-term conservation issues. We believe that the experience gained and lessons learned during our year long deployment and testing of the camera traps are applicable to broader sensor network applications and are valuable for the advancement of the sensor network research. We suggest that the continued development of these hardware, software, and analytical tools, in concert, offer an exciting sensor-network solution to monitoring of animal populations which could realistically scale over larger areas and time spans

AB - Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial animal monitoring system at Barro Colorado Island, Panama. The data gathered from our camera network shows the spatio-temporal dynamics of terrestrial bird and mammal activity at the site-data relevant to immediate science questions, and long-term conservation issues. We believe that the experience gained and lessons learned during our year long deployment and testing of the camera traps are applicable to broader sensor network applications and are valuable for the advancement of the sensor network research. We suggest that the continued development of these hardware, software, and analytical tools, in concert, offer an exciting sensor-network solution to monitoring of animal populations which could realistically scale over larger areas and time spans

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DO - 10.1109/LCN.2009.5355046

M3 - Conference paper

SN - 9781424444885

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BT - Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009

T2 - 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland

Y2 - 20 October 2009 through 23 October 2009

ER -

Kays RW, Kranstauber B, Jansen PA, Carbone C, Rowcliffe M, Fountain T et al. Camera traps as sensor networks for monitoring animal communities. In Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009. 2009. p. 811-818 doi: 10.1109/LCN.2009.5355046

Camera traps as sensor networks for monitoring animal communities

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