Panda Facial Region Detection Based on Topology Modelling Conference Paper

abstract

• In the surveillance of rare animals, robust region detection is of great importance. Detected animal regions have many important applications in animal biometrics, such as behaviour analysis, gait detection and movement tracking. This paper presents a simple and effective method on facial region detection of pandas, which are the national treasure among animals. Firstly, the black colour of the panda hair is modelled. Secondly, the region growing algorithm is applied to extract connected hair regions. Thirdly, the topology of panda facial region is modelled and constructed. Extensive experiments are carried out to validate the detected facial regions of panda, by specifying the panda's ears, eyes and nose. 2012 IEEE.

name of conference

• 2012 5th International Congress on Image and Signal Processing

authors

• Mete, Mutlu

published proceedings

• 2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP)

author list (cited authors)

• Chen, J., Wen, Q., Qu, W., & Mete, M.

citation count

• 5

complete list of authors

• Chen, Juan||Wen, Quan||Qu, Wenming||Mete, Mutlu

publication date

• October 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Animal Surveillance
• Region Detection
• Topology Modelling

Digital Object Identifier (DOI)

• 10.1109/cisp.2012.6469668

International Standard Book Number (ISBN) 13

• 9781467309622

start page

• 911

end page

• 915

URL

• http://dx.doi.org/10.1109/cisp.2012.6469668