An Adaptive Threshold based FPGA Implementation for Object and Face detection

The moving object and face detection are vital requirement for real time security applications. In this paper, we propose an Adaptive Threshold based FPGA Implementation for Object and Face detection. The input Images and reference Images are preprocessed using Gaussian Filter to smoothen the high frequency components. The 2D-DWT is applied on Gaussian filter outputs and only LL bands are considered for further processing. The modified background with adaptive threshold are used to detect the object with LL band of reference image. The detected object is passed through Gaussian filter to enhance the quality of object. The matching unit is designed to recognize face from standard face database images. It is observed that the performance parameters such as percentage TSR and hardware utilizations are better compared to existing techniques.