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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kutrowski, T.M. Meydan, T. Barnes, J. Aldoumani, N. Erichsen, J.T. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Eng., Cardiff Univ., Cardiff, UK (Meydan, T.) || Sch. of Optometry & Vision Sci., Cardiff Univ., Cardiff, UK (Erichsen, J.T.) |
| Abstract | Behavioural experiments often require continuous monitoring of the responses that animals make in different situations and in response to various stimuli. Formerly, recording visual observations of animals followed by the manual post hoc analysis of the data was the most commonly employed approach and has the advantage of being non-invasive. However, manual data extraction can be very time-consuming and introduces a risk of bias in identifying salient responses. Although techniques have been developed for specific applications to automate the analysis of behaviours, including some commercial solutions, many are not always adequate for the particular situation or sufficiently flexible to measure the desired movement. We have developed and implemented a relatively low cost system for video recording and reliably extracting data characterizing animal's kinetic responses. This instrumentation has been successfully utilized in our investigations of pigeon head movements by enabling us to record and compare behavioural responses to different types of stimuli. |
| Starting Page | 1295 |
| Ending Page | 1299 |
| File Size | 1294344 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479901623 |
| DOI | 10.1109/ICSENS.2014.6985248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Pattern matching Head Instruments Animals Streaming media Cameras LabVIEW animal behaviour video tracking monitoring behaviour image recognition pattern matching |
| Content Type | Text |
| Resource Type | Article |
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