Your browser doesn't support javascript.
loading
Combination of facial and nose features of Amur tigers to determine age.
Zhao, Caiping; Dai, Wenrui; Liu, Qiang; Liu, Dongqi; Roberts, Nathan James; Liu, Zhaoli; Gong, Ming; Qiu, Hongkun; Liu, Changhai; Liu, Dan; Ma, Guangkai; Jiang, Guangshun.
Afiliação
  • Zhao C; Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, P. R. China.
  • Dai W; Research Center for Northeast Asia Biodiversity Conservation, Harbin, P. R. China.
  • Liu Q; College of Computer and Control Engineering, Northeast Forestry University, Harbin, P. R. China.
  • Liu D; Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, P. R. China.
  • Roberts NJ; Research Center for Northeast Asia Biodiversity Conservation, Harbin, P. R. China.
  • Liu Z; Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, P. R. China.
  • Gong M; Research Center for Northeast Asia Biodiversity Conservation, Harbin, P. R. China.
  • Qiu H; Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, P. R. China.
  • Liu C; Research Center for Northeast Asia Biodiversity Conservation, Harbin, P. R. China.
  • Liu D; Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, P. R. China.
  • Ma G; Research Center for Northeast Asia Biodiversity Conservation, Harbin, P. R. China.
  • Jiang G; Heilongjiang Siberia Tiger Park, Harbin, Heilongjiang, P. R. China.
Integr Zool ; 2024 Mar 21.
Article em En | MEDLINE | ID: mdl-38509845
ABSTRACT
We found that the area of black round or irregular-shaped spots on the tiger's nose increased with age, indicating a positive relationship between age and nose features. We used the deep learning model to train the facial and nose image features to identify the age of Amur tigers, using a combination of classification and prediction methods to achieve age determination with an accuracy of 87.81%.
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Integr Zool Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Integr Zool Ano de publicação: 2024 Tipo de documento: Article