Title :
An Expression of Animal Abdominal Breathing Based on Intercept
Author :
Ji, Bin ; Qin, Feng ; Liu, Hongshen
Author_Institution :
Sch. of Comput. Sci., Anhui Univ. of Technol., Ma´´anshan, China
Abstract :
To monitor the tachypnea of pig, computer vision was introduced to construct a model for the pig\´s abdominal respiration based on intercept. The breathing mainly showed markedly dilating and shrinking at ridge-abdomen of pig. Based on the centroid of pig\´s contour, the intercept between two back-abdomen edges was obtained in vertical direction. We call the intercept "Back-Abdomen Edge Intercept Descriptor" (BAEID) as an index reflecting the fluctuating one. According to the BAEID, the respiratory state can be recorded at pig standstill in a clip. Pig abdominal respiration frequence in the same clip was respectively detected by computer vision method and artificial one. Experiment shows that the correlation coefficient is 99.6% between both them.
Keywords :
agricultural products; agriculture; computer vision; edge detection; BAEID; animal abdominal breathing expression; back-abdomen edge intercept descriptor; breathing dilation; breathing shrinkage; computer vision; correlation coefficient; intercept; pig abdominal respiration; pig tachypnea; respiratory state; vertical direction; Animals; Computer vision; Correlation; Educational institutions; Image edge detection; Testing; Videos; Back-Abdomen Edge intercept descriptor (BAEID); abdominal respiration; computer vision;
Conference_Titel :
Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
Conference_Location :
Macau, Macao
Print_ISBN :
978-1-4577-1987-5
DOI :
10.1109/iCBEB.2012.56