文章基本信息

标题：FPGA Implementation of Moving Object and Face Detection Using Adaptive Threshold
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作者：Sateesh Kumar H.C ; Sayantam Sarkar ; Satish S Bhairannawar 等
期刊名称：International Journal of VLSI Design & Communication Systems
印刷版ISSN：0976-1527
电子版ISSN：0976-1357
出版年度：2015
卷号：6
期号：5
页码：15
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The real time moving object and face detections are used for various security applications. In this paper,we propose FPGA implementation of moving object and face detection with adaptive threshold. The inputimages are passed through Gaussian filter. The 2D-DWT is applied on Gaussian filter output andconsidered only LL band for further processing to detect object/face. The modified background subtractiontechnique is applied on LL bands of input images. The adaptive threshold is computed using LL-band ofreference image and object is detected through modified background subtraction. The detected object ispassed through Gaussian filter to get final good quality object. The face detection is also identified usingmatching unit along with object detection unit. The reference image is replaced by face database images inthe face detection. It is observed that the performance parameters such as TSR, FRR, FAR and hardwarerelated results are improved compared to existing techniques.
关键词：Discrete Wavelet Transform; Gaussian Filter; Adaptive Threshold; Object Detection; Face Recognition