Skip to content
Back to outputs

Detecting and tracking bottoms and faces of the crested black macaque in the wild

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Detecting and tracking bottoms and faces of the crested black macaque in the wild. / Chiverton, John Peter; Micheletta, Jerome Francois; Waller, Bridget Marguerite.

Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015. ed. / Xianghua Xie; Mark Jones; Gary Tam. British Machine Vision Association, 2015. p. 1-8.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Chiverton, JP, Micheletta, JF & Waller, BM 2015, Detecting and tracking bottoms and faces of the crested black macaque in the wild. in X Xie, M Jones & G Tam (eds), Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015. British Machine Vision Association, pp. 1-8, Machine Vision of Animals and their Behaviour Workshop (MVAB 2015), Swansea, United Kingdom, 7/09/15. https://doi.org/10.5244/C.29.MVAB.9

APA

Chiverton, J. P., Micheletta, J. F., & Waller, B. M. (2015). Detecting and tracking bottoms and faces of the crested black macaque in the wild. In X. Xie, M. Jones, & G. Tam (Eds.), Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015 (pp. 1-8). British Machine Vision Association. https://doi.org/10.5244/C.29.MVAB.9

Vancouver

Chiverton JP, Micheletta JF, Waller BM. Detecting and tracking bottoms and faces of the crested black macaque in the wild. In Xie X, Jones M, Tam G, editors, Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015. British Machine Vision Association. 2015. p. 1-8 https://doi.org/10.5244/C.29.MVAB.9

Author

Chiverton, John Peter ; Micheletta, Jerome Francois ; Waller, Bridget Marguerite. / Detecting and tracking bottoms and faces of the crested black macaque in the wild. Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015. editor / Xianghua Xie ; Mark Jones ; Gary Tam. British Machine Vision Association, 2015. pp. 1-8

Bibtex

@inbook{bc8780b206f14160aa5a9a67492615f2,
title = "Detecting and tracking bottoms and faces of the crested black macaque in the wild",
abstract = "Monkeys are important to many areas of science and ecology. The study of monkeys and their welfare are important components requiring complex observational studies. This work is therefore concerned with the development of computer vision techniques for the purposes of detecting and tracking monkeys with the ultimate aim to help in such studies. Monkeys are complex creatures for the purposes of tracking because of complex deformations. This complexity is further compounded by an in the wild setting where forest conditions result in frequent occlusions and changes in lighting. Despite these complexities monkeys present some interesting features that can make detection and tracking possible: their bottoms and faces. A system is thus described consisting of detectors trained to detect faces and bottoms of monkeys which are used within a tracking framework to initialise a system of tracklet construction. Steps are also described to enable disparate but coincident tracklets to be merged thus enabling longer run analysis of individual monkey movements. Experiments are performed using image data taken from video footage of Crested Black Macaques in natural forest surroundings. Results demonstrate relatively successful detection of monkey bottoms where the correspondence analysis and tracking process helps to reduce false positives.",
author = "Chiverton, {John Peter} and Micheletta, {Jerome Francois} and Waller, {Bridget Marguerite}",
year = "2015",
month = sep,
day = "10",
doi = "10.5244/C.29.MVAB.9",
language = "English",
pages = "1--8",
editor = "Xianghua Xie and Mark Jones and Gary Tam",
booktitle = "Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015",
publisher = "British Machine Vision Association",
note = "Machine Vision of Animals and their Behaviour Workshop (MVAB 2015) ; Conference date: 07-09-2015 Through 10-09-2015",

}

RIS

TY - CHAP

T1 - Detecting and tracking bottoms and faces of the crested black macaque in the wild

AU - Chiverton, John Peter

AU - Micheletta, Jerome Francois

AU - Waller, Bridget Marguerite

PY - 2015/9/10

Y1 - 2015/9/10

N2 - Monkeys are important to many areas of science and ecology. The study of monkeys and their welfare are important components requiring complex observational studies. This work is therefore concerned with the development of computer vision techniques for the purposes of detecting and tracking monkeys with the ultimate aim to help in such studies. Monkeys are complex creatures for the purposes of tracking because of complex deformations. This complexity is further compounded by an in the wild setting where forest conditions result in frequent occlusions and changes in lighting. Despite these complexities monkeys present some interesting features that can make detection and tracking possible: their bottoms and faces. A system is thus described consisting of detectors trained to detect faces and bottoms of monkeys which are used within a tracking framework to initialise a system of tracklet construction. Steps are also described to enable disparate but coincident tracklets to be merged thus enabling longer run analysis of individual monkey movements. Experiments are performed using image data taken from video footage of Crested Black Macaques in natural forest surroundings. Results demonstrate relatively successful detection of monkey bottoms where the correspondence analysis and tracking process helps to reduce false positives.

AB - Monkeys are important to many areas of science and ecology. The study of monkeys and their welfare are important components requiring complex observational studies. This work is therefore concerned with the development of computer vision techniques for the purposes of detecting and tracking monkeys with the ultimate aim to help in such studies. Monkeys are complex creatures for the purposes of tracking because of complex deformations. This complexity is further compounded by an in the wild setting where forest conditions result in frequent occlusions and changes in lighting. Despite these complexities monkeys present some interesting features that can make detection and tracking possible: their bottoms and faces. A system is thus described consisting of detectors trained to detect faces and bottoms of monkeys which are used within a tracking framework to initialise a system of tracklet construction. Steps are also described to enable disparate but coincident tracklets to be merged thus enabling longer run analysis of individual monkey movements. Experiments are performed using image data taken from video footage of Crested Black Macaques in natural forest surroundings. Results demonstrate relatively successful detection of monkey bottoms where the correspondence analysis and tracking process helps to reduce false positives.

UR - http://www.bmva.org/bmvc/

U2 - 10.5244/C.29.MVAB.9

DO - 10.5244/C.29.MVAB.9

M3 - Chapter (peer-reviewed)

SP - 1

EP - 8

BT - Proceedings of the Machine Vision of Animals and their Behaviour Workshop (MVAB) 2015

A2 - Xie, Xianghua

A2 - Jones, Mark

A2 - Tam, Gary

PB - British Machine Vision Association

T2 - Machine Vision of Animals and their Behaviour Workshop (MVAB 2015)

Y2 - 7 September 2015 through 10 September 2015

ER -

ID: 3179378