Designing a framework for animal identification
- Krijer, Hans, Foster, Gregory G, Bangay, Shaun D
- 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.
- Full Text:
- Date Issued: 2008
- 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.
- Full Text:
- Date Issued: 2008
Zebra fingerprints: towards a computer-aided identification system for individual zebra
- Foster, Gregory G, Krijer, Hans, Bangay, Shaun D
- 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.
- Full Text:
- Date Issued: 2007
- 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.
- Full Text:
- Date Issued: 2007
The identification of mammalian species through the classification of hair patterns using image pattern recognition
- Moyo, Thamasanqa, Bangay, Shaun D, Foster, Gregory G
- Authors: Moyo, Thamasanqa , Bangay, Shaun D , Foster, Gregory G
- Date: 2006
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/432938 , vital:72914 , https://doi.org/10.1145/1108590.1108619
- Description: The identification of mammals through the use of their hair is important in the fields of forensics and ecology. The application of computer pattern recognition techniques to this process provides a means of reducing the subjectivity found in the process, as manual techniques rely on the interpretation of a human expert rather than quantitative measures. The first application of image pattern recognition techniques to the classification of African mammalian species using hair patterns is presented. This application uses a 2D Gabor filter-bank and motivates the use of moments to classify hair scale patterns. Application of a 2D Gabor filter-bank to hair scale processing provides results of 52% accuracy when using a filter-bank of size four and 72% accuracy when using a filter-bank of size eight. These initial results indicate that 2D Gabor filters produce information that may be successfully used to classify hair according to images of its patterns.
- Full Text:
- Date Issued: 2006
- Authors: Moyo, Thamasanqa , Bangay, Shaun D , Foster, Gregory G
- Date: 2006
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/432938 , vital:72914 , https://doi.org/10.1145/1108590.1108619
- Description: The identification of mammals through the use of their hair is important in the fields of forensics and ecology. The application of computer pattern recognition techniques to this process provides a means of reducing the subjectivity found in the process, as manual techniques rely on the interpretation of a human expert rather than quantitative measures. The first application of image pattern recognition techniques to the classification of African mammalian species using hair patterns is presented. This application uses a 2D Gabor filter-bank and motivates the use of moments to classify hair scale patterns. Application of a 2D Gabor filter-bank to hair scale processing provides results of 52% accuracy when using a filter-bank of size four and 72% accuracy when using a filter-bank of size eight. These initial results indicate that 2D Gabor filters produce information that may be successfully used to classify hair according to images of its patterns.
- Full Text:
- Date Issued: 2006
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