  Deep Learning (DL) combined with advanced model optimization methods such as
RC-NN and Edge2Train has enabled offline execution of large networks on the IoT
devices. In this paper, we compare the modern Deep Learning (DL) based video
analytics approaches with the standard Computer Vision (CV) based approaches
and finally, discuss the best-suited approach for video analytics on IoT
devices.
