Designing a framework for animal identification
- Authors: Krijer, Hans , Foster, Gregory G , Bangay, Shaun D
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/432726 , vital:72895 , https://www.cs.ru.ac.za/research/g99k3906/hans.pdf
- Description: The conventional methods of animal identification can be replaced with a semi-automatic image analysis tool, which distinguishes individuals based on their unique markings. A flexible framework for the analysis must encompass a combination of relevant features with interchangeable animal-specific modules. Developing a Java-ImageJ plug-in alleviates routine functionality, but enforces some degree of conformity. Zebra photographs are used as the initial data under consideration. De-interlacing, adaptive thresholding, smoothing and sharpening are identified as beneficial pre-processing steps. Binarisation and sequential thinning are discussed as essential processing stages. Pattern extraction and matching is based on vectors relative to a manually defined region of interest. Provision for enhancing the system to allow fully automatic processing must be made.
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- Date Issued: 2008
Zebra fingerprints: towards a computer-aided identification system for individual zebra
- Authors: Foster, Gregory G , Krijer, Hans , Bangay, Shaun D
- Date: 2007
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/433482 , vital:72973 , https://doi.org/10.1145/1108590.1108616
- Description: The article presents a study which investigates the development of a computer-aided system for individual zebra identification based on the lateral side stripe pattern. The model proposed for individual animal identification is based on a combination of image processing and fingerprint identification technology. About 20 minutes of zebra footage was filmed at the Amakhala Game Reserve in South Africa. The study indicates that there is sufficient variation in lateral stripe patterns to differentiate individual animals.
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- Date Issued: 2007