Real Time Vision Based Security System

Motivation for the Real time vision based security system arises due to increasing crime activity now a days, which includes intrusion in high security areas where the presence of an unauthorized personis unacceptable. The paper carries out research on the low cost implementation of a system for change detection in a closed monitored area. This paper presents a vision based security system that includes a Linux based target board, web-camera and indicators to alert the concerned user. This work is successfully developed on embedded target platform board comprising of a Broadcom multimedia processor BCM2835 based on ARM11 embedded processor core as the hardware and the software is implemented on the Linux kernel by porting cross-compiled OpenCV, GPU and GUI libraries as well as UVC drivers for USB camera. An image is captured from a web-camera at random intervals and using change-detection technique i.e.image subtraction, thresholding and morphological operations the final image with major blob is produced. The area of the major blob is derived by calculating mean of pixel array elements. These values of cross section area are compared with calculated values. If derived values fall in the range of theoretical values, it can be identified as human intrusion.These ranges of theoretical values (the average cross sectional area of human) are defined in Anthropology theory. This system has been tested for different environments, such asan experimental closed monitored area, and achieves over 86% detection rate at 5-6 frames/s processing speed.