DSpace Repository

Dog lover community with automatic lost and found dog system

Show simple item record

dc.contributor.advisor Dailey, Matthew
dc.contributor.author Sondhana, Nattaya
dc.contributor.other Anutariya, Chutiporn
dc.contributor.other Duboz, Raphael
dc.date.accessioned 2015-07-21T04:04:05Z
dc.date.available 2015-07-21T04:04:05Z
dc.date.issued 2015-07
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/799
dc.description 58 p. en_US
dc.description.abstract Dog owners usually have a special bond with their dogs. It is undoubtedly devastating for them when their dog goes missing. Nowadays, there are many ways to find lost dogs. The Internet, which has become a part of almost everyone's life, is unquestionably one of the many ways to help spread the word. It is fast, widespread, and does not require a lot of time or money. However, there are currently no websites in Thailand specifically developed to assist people in finding lost dogs and owners of found dogs. Therefore, this thesis aims to provide an option for people to find their lost dogs and owners of found dogs by developing a community website to serve as a central point where dog lovers can meet, share their experiences, support one another, and help return lost dogs to their homes, with assisting functionality including an easy-to-use dog reporting system, social network sharing, anotification system, a search system, and an automatic dog face recognition system. To identify individual dogs, I adopt local binary patterns (LBP). 1,513full-frontal pictures of dogs of 119 different breeds were collected for the experiment, and the LBP technique achieved an accuracy of 86.25%. It worked well with pictures under a wide range of illumination conditions but was not robust to pictures acquired under extreme illumination conditions, for example, dark shadows. I evaluated the Website by having 20 people use it, and they all agreed that they were satisfied with the Website and would use it when it was officially launched. en_US
dc.description.sponsorship Royal Thai Government Fellowship en_US
dc.publisher AIT en_US
dc.subject Local Binary Patterns en_US
dc.subject Face Recognition en_US
dc.subject Biometric Identification en_US
dc.subject Lost Dogs en_US
dc.subject Missing Dogs en_US
dc.subject Found Dogs en_US
dc.subject Thailand en_US
dc.subject Automatic System en_US
dc.subject Website en_US
dc.subject Dogs en_US
dc.title Dog lover community with automatic lost and found dog system en_US
dc.type Thesis en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account