Analysis of bat wing beat frequency using Fourier transform

John Atanbori; Peter Cowling; John Murray; Belinda Colston; Paul Eady; Dave Hughes; Ian Nixon; Patrick Dickinson

doi:10.1007/978-3-642-40246-3_46

Analysis of bat wing beat frequency using Fourier transform

John Atanbori, Peter Cowling, John Murray, Belinda Colston, Paul Eady, Dave Hughes, Ian Nixon, Patrick Dickinson

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

5 Citations (Scopus)

Abstract

Computer vision techniques have been used extensively to automatically monitor human activities; however, applications for analysing animal behaviour are sparse. The analysis of bat behaviour in particular has attracted only one or two studies. Most existing work uses either expensive thermal imaging equipment, or bespoke sensors which are not accessible to field researchers, ecologists, and scientists studying behaviour. The work we present here uses spectral analysis techniques to quantify wingbeat frequency, using a single imaging device in low-light. We propose two modified techniques based on bounded box metrics, and similarity matrices, for measuring periodic and cyclical motion as a 1D time domain signal. These are transformed to the frequency domain using Short Time Fourier Transform (STFT). Finally we evaluate these techniques against the baseline algorithm proposed by Cutler and Davis [5], using expert-annotated ground-truth data.

Original language	English
Title of host publication	Computer Analysis of Images and Patterns
Subtitle of host publication	15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II
Editors	Richard Wilson, Edwin Hancock, Adrian Bors, William Smith
Publisher	Springer
Pages	370-377
Number of pages	8
Edition	PART 2
ISBN (Electronic)	9783642402463
ISBN (Print)	9783642402456
DOIs	https://doi.org/10.1007/978-3-642-40246-3_46
Publication status	Published - 7 Aug 2013
Externally published	Yes
Event	15th International Conference on Computer Analysis of Images and Patterns - York, United Kingdom Duration: 27 Aug 2013 → 29 Aug 2013 https://link.springer.com/conference/caip

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Number	PART 2
Volume	8048 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Computer Analysis of Images and Patterns
Abbreviated title	CAIP 2013
Country/Territory	United Kingdom
City	York
Period	27/08/13 → 29/08/13
Internet address	https://link.springer.com/conference/caip

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Cite this

Atanbori, J., Cowling, P., Murray, J., Colston, B., Eady, P., Hughes, D., Nixon, I., & Dickinson, P. (2013). Analysis of bat wing beat frequency using Fourier transform. In R. Wilson, E. Hancock, A. Bors, & W. Smith (Eds.), Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II (PART 2 ed., pp. 370-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8048 LNCS, No. PART 2). Springer. https://doi.org/10.1007/978-3-642-40246-3_46

Atanbori, John ; Cowling, Peter ; Murray, John et al. / Analysis of bat wing beat frequency using Fourier transform. Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II. editor / Richard Wilson ; Edwin Hancock ; Adrian Bors ; William Smith. PART 2. ed. Springer, 2013. pp. 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "Computer vision techniques have been used extensively to automatically monitor human activities; however, applications for analysing animal behaviour are sparse. The analysis of bat behaviour in particular has attracted only one or two studies. Most existing work uses either expensive thermal imaging equipment, or bespoke sensors which are not accessible to field researchers, ecologists, and scientists studying behaviour. The work we present here uses spectral analysis techniques to quantify wingbeat frequency, using a single imaging device in low-light. We propose two modified techniques based on bounded box metrics, and similarity matrices, for measuring periodic and cyclical motion as a 1D time domain signal. These are transformed to the frequency domain using Short Time Fourier Transform (STFT). Finally we evaluate these techniques against the baseline algorithm proposed by Cutler and Davis [5], using expert-annotated ground-truth data.",

keywords = "Periodic motion, Similarity matrices, STFT, Wing beat frequency",

author = "John Atanbori and Peter Cowling and John Murray and Belinda Colston and Paul Eady and Dave Hughes and Ian Nixon and Patrick Dickinson",

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Atanbori, J, Cowling, P, Murray, J, Colston, B, Eady, P, Hughes, D, Nixon, I & Dickinson, P 2013, Analysis of bat wing beat frequency using Fourier transform. in R Wilson, E Hancock, A Bors & W Smith (eds), Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8048 LNCS, Springer, pp. 370-377, 15th International Conference on Computer Analysis of Images and Patterns, York, United Kingdom, 27/08/13. https://doi.org/10.1007/978-3-642-40246-3_46

Analysis of bat wing beat frequency using Fourier transform. / Atanbori, John; Cowling, Peter; Murray, John et al.
Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II. ed. / Richard Wilson; Edwin Hancock; Adrian Bors; William Smith. PART 2. ed. Springer, 2013. p. 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8048 LNCS, No. PART 2).

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

TY - GEN

T1 - Analysis of bat wing beat frequency using Fourier transform

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AU - Cowling, Peter

AU - Murray, John

AU - Colston, Belinda

AU - Eady, Paul

AU - Hughes, Dave

AU - Nixon, Ian

AU - Dickinson, Patrick

PY - 2013/8/7

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AB - Computer vision techniques have been used extensively to automatically monitor human activities; however, applications for analysing animal behaviour are sparse. The analysis of bat behaviour in particular has attracted only one or two studies. Most existing work uses either expensive thermal imaging equipment, or bespoke sensors which are not accessible to field researchers, ecologists, and scientists studying behaviour. The work we present here uses spectral analysis techniques to quantify wingbeat frequency, using a single imaging device in low-light. We propose two modified techniques based on bounded box metrics, and similarity matrices, for measuring periodic and cyclical motion as a 1D time domain signal. These are transformed to the frequency domain using Short Time Fourier Transform (STFT). Finally we evaluate these techniques against the baseline algorithm proposed by Cutler and Davis [5], using expert-annotated ground-truth data.

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ER -

Atanbori J, Cowling P, Murray J, Colston B, Eady P, Hughes D et al. Analysis of bat wing beat frequency using Fourier transform. In Wilson R, Hancock E, Bors A, Smith W, editors, Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II. PART 2 ed. Springer. 2013. p. 370-377. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-40246-3_46

Analysis of bat wing beat frequency using Fourier transform

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