Real time edge detected advanced image acquisition system using RGB analysis

In modern era the real time edge detection of moving elements in image sequences is the most important step in many image & video acquisition systems including automated visual surveillance. In this paper, we present an advanced framework for detecting some very important issues, like people identification and people flow count in restricted organizations for security measures. The objectives is to constant monitor activities at restricted regions for detecting unwanted congestions and predict the people flow which assists in regulating the crowd density at the target place. This unique approach help us as the system can sense the frame of target object, detect instantly the edges of the target, automatically process the captured footage and provides the filtered version of the target image/video. In addition with, our proposed system can also track the motion of the target object (people). Also color histograms (RGB) help us to make prompt decisions while capturing the total range of existing digital image/video. In this paper the proposed system with such modern features combined is designed using MAT Lab/SIMULINK V.7.10.0 and simulated. The related experimental results are shown and evaluated successfully.