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Automated Video Analysis of Animal Movements Using Gabor Orientation Filters

Wagenaar, Daniel A. and Kristan, Wiliam B., Jr. (2010) Automated Video Analysis of Animal Movements Using Gabor Orientation Filters. Neuroinformatics, 8 (1). pp. 33-42. ISSN 1539-2791. PMCID PMC2841272. https://resolver.caltech.edu/CaltechAUTHORS:20100514-100202108

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Abstract

To quantify locomotory behavior, tools for determining the location and shape of an animal’s body are a first requirement. Video recording is a convenient technology to store raw movement data, but extracting body coordinates from video recordings is a nontrivial task. The algorithm described in this paper solves this task for videos of leeches or other quasi-linear animals in a manner inspired by the mammalian visual processing system: the video frames are fed through a bank of Gabor filters, which locally detect segments of the animal at a particular orientation. The algorithm assumes that the image location with maximal filter output lies on the animal’s body and traces its shape out in both directions from there. The algorithm successfully extracted location and shape information from video clips of swimming leeches, as well as from still photographs of swimming and crawling snakes. A Matlab implementation with a graphical user interface is available online, and should make this algorithm conveniently usable in many other contexts.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1007/s12021-010-9062-1DOIArticle
http://www.springerlink.com/content/k6ph720457371250/PublisherArticle
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2841272/PubMed CentralArticle
ORCID:
AuthorORCID
Wagenaar, Daniel A.0000-0002-6222-761X
Additional Information:© The Author(s) 2010. This article is published with open access at Springerlink.com. Published online: 2 February 2010. This work was supported by a fellowship from the Broad Foundations (to DAW), by grant IOS-0825741 from the NSF (to WBK), and by grant RO1 MH043396 from NIH/NIMH (to WBK). DAW holds a Career Award at the Scientific Interface from the Burroughs Wellcome Fund. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Funders:
Funding AgencyGrant Number
Eli and Edythe Broad FoundationUNSPECIFIED
NSFIOS-0825741
NIHRO1 MH043396
Burroughs Wellcome FundUNSPECIFIED
Subject Keywords:Image analysis; Animal detection; Natural scenes; Gabor filter; Shape extraction; Matlab
Issue or Number:1
PubMed Central ID:PMC2841272
Record Number:CaltechAUTHORS:20100514-100202108
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20100514-100202108
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:18307
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 May 2010 02:59
Last Modified:03 Oct 2019 01:40

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