A distributed approach based on maximal far-flung scalar premier selection for camera actuation

Abstract

The article proposes a distributed approach inspired by maximal farflung scalar premier selection for actuation of cameras. This manner of scalar premier selection reduces the possible overlapping among the field of views of cameras, thereby minimizing the amount of redundant data transmission due to it. The scalar premiers communicate their corresponding cameras regarding the occurring event information and the cameras collaboratively decide which among them are to be actuated. Experimental results obtained from the investigation validate the significance of our proposed algorithm as compared to three other methods proposed in the literature.