The paper proposes a method of inter-frame data alignment, built on the operations of pre-processing and selection of object contours and based on the following basic operations: reading data from cameras, determining parameters and dimensions; solving the problem of contouring objects and simplifying them to form a mask for subsequent processing; filtering, using a multi-criteria method based on a combination of criteria, the standard deviation of the final differences of the generated estimates and the first difference of the deviation from the input implementation; the use of NS to search for animals or/and humans; parallel detection of objects located in the range of 34°C-42°C degrees Celsius (95°F-107.6°F); the use of NN to determine the type of object by analyzing the thermal portrait; use of a mask of live objects (visual data) and thermal imaging parameters as alignment centers; determining a thermal image transformation matrix; stitching a pair of images. On a set of test sequences, studies have been carried out to increase the degree of detection of living objects when a thermal imaging camera is included in the data detector. The studies were carried out on a pair of cameras of the visible spectrum (1920x1080, RGB, 8 bit) and thermal (240x180, RGB, 8 bit).
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.