MOVING OBJECT DETECTION USING BACKGROUND SUBTRACTION ALGORITHM USING SIMULINK

Abstract

In construction automation, the tracking of worker location or a moving object is important for labour monitoring, resource management, and machine coordination. For object tracking, a camera is often utilized to obtain information of construction vehicle motion which can then be employed in coordination controls. Real-time tracking of autonomous vehicles, particularly for the control of multiple targets in formations, still suffers from constraints imposed in computation resources. CMOS camera is used for in a prototypical tracking system for vehicles to detect their color-tags. The digital camera has become a popular sensor for monitoring and surveillance systems. By improvement of the semiconductor technology, modern digital cameras with high pixel number can provide greater image detail in various applications. A digital image sensor usually utilizes an array consists of the charged-couple device (CCD) or complementary metal oxide semiconductor (CMOS). By passing light through the lens and color filter array (CFA), the real image is transformed into the mosaic-like RGB image projected on the digital image sensor array. The raw RGB image then is reconstructed as a meaningful image for human perception by de-mosaicking and color correction. For sensing applications, the additional image processing to extract object is required for every image pixel. Moreover, it should be noted that imaging processing consumes a lot of memory space and most of computation resources in a computer system.