Study on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillance

The monitoring of certain areas can be a tedious
and non-interactive task that usually leads to some missed
occurrences. With the development of object-detection models,
this problem can be mitigated and reduced. In this paper, a
rare application of EfficientDet model to the analysis of footage
from an infrared camera in real-time is studied. The model will
be used to detect deers, people and cars in images captured at
the surroundings of a classified facility from where we do not
yet have images available. Consequently, we show the process
of creating the model and discuss the problems raised by the
real-time performance limitations as well as by the available
data limitations. The results obtained suggest that this kind of
implementation