z-logo
open-access-imgOpen Access
Analysis and tracking of animal movements through granulation of temporal domain (GTD)
Author(s) -
Neelam Rawat,
J. S. Sodhi,
R. K. Tyagi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.5.21143
Subject(s) - computer vision , artificial intelligence , computer science , segmentation , video tracking , population , domain (mathematical analysis) , movement (music) , object (grammar) , mathematics , demography , sociology , mathematical analysis , philosophy , aesthetics
Thanks to technological advancement in tracking systems, observing the moving patterns of a population is easier now. Capturing the movement patterns is mostly done through various tracking technologies like GPS, GIS etc. but these tracking systems basically require one or more combination of the same, and also, a node or tag to be placed on the moving object. Tracking of movement patterns basically employs a motion model which describes how the image of the object might change in different possible positions of the object during video surveillance. To track multiple objects without deformation during movement, the granulation of temporal domain (GTD) is pro- posed.GTD method is for demodulation of granule adaptation of video image segmentation on the basis of granular computing methodology. In image segmentation, i.e., image granulation through temporal domain, it improves the quality of surveillance important for wild-life protec- tion, and decision making in terms of security.  

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here