FPGA IMPLEMENTATION OF OBJECT DETECTION IN BACKGROUND MODELING USING GAUSSIAN MIXTURE MODEL

Demand for implementation of image processing algorithm on FPGA is exponentially increases in the present world. Many research works is carried for image processing applications and implementation on FPGA. Nowadays identification, classification, and recognition of an object in the highly sophisticated regions are big challenge. Tracking intended object in the congestion region is very difficult. CCTV is used to detect and track the object in the traffic regions. Sometimes it gives false alarm by capturing shadows due to change in the intensity levels in the dynamic background. In this paper an efficient background circuit is developed to detect the object in the dynamic/static background to avoid false alarm. The real time captured image is processed by the proposed background circuit, and it is implemented on FPGA. It has been observed that the result obtained from this proposed work is good in terms of processing time and area utilization.