Video Object Identifications and Monitoring Using Fast Template Matching Technique

Abstract

Nowadays, finding criminals is a challenging task for any Security Services especially in the video. The
challenges may come when a video is a highly compressed and low quality. The proposed approach
provides an idea for identifying suspicious objects from video and tracking their positions for entire frames.
It is expected the proposed concept will outcome better results than any other existing technique. Through
this concept, an intention is given on enhancing the low-quality video and then tracking a suspicious objects
with the help of a template matching algorithm.