An Effective Trespasser Detection System Using Thermal Camera

Abstract

This paper presents a novel human detection algorithm embedded into a thermal imaging system to form a fast and effective trespasser detection system for smart surveillance purpose. To identify a human object, pattern recognization technique is employed where human head is detected and analyzed for its shape, dimension and position. The experimental result shows that the proposed trespasser detection algorithm is fast and accurate with accuracy of 98.62% in its optimum setting with short routine time of 112 milliseconds.