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









Abstract

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 the object also tracking 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 shadow in the dynamic background to avoid false alarm. The real time captured images 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.


Modules


Algorithms


Software And Hardware