Authors : Boon Tatt Koik and Haidi Ibrahim
Abstract: Animal detection can be used in wide range of applications especially intrusion detection of animal for security reason to ensure the safety of human life and assets. In this study, an image processing method is proposed using multiple image frames comparison approach based on background subtraction. A simple background subtraction followed by predefined threshold filtration to filter the noises of natural image is performed to obtain a rough output, then multiple images pixels data in Boolean expression are compared to reduce false positive detection of animal is performed. Connected component and region labelling operation being implemented to group and classify detected area region followed by area threshold’s operation to further eliminate unwanted anomalies in image frames. The detected animal in images will be marked with rectangle frame.
Boon Tatt Koik and Haidi Ibrahim, 2012. Development of Algorithm to Detect Presence of Animal in Digital Image. Journal of Animal and Veterinary Advances, 11: 3557-3560.