FPGA-based facial detection and tracking design

dc.contributor.author	Ng, Chuang Hou
dc.date.accessioned	2021-02-25T02:35:18Z
dc.date.available	2021-02-25T02:35:18Z
dc.date.issued	2019-06
dc.description.abstract	In the recent years, face detection is widely applied in face recognition which occupies most of the recognition time and leads to a time constraint of the recognition algorithms. Therefore, enhancing speed and reducing complexity of face detection algorithms have become a very important issue, especially for real-time face detection systems. This project presents the implementation FPGA-based Facial Detection and Tracking Design. Face detection is one of the common terms in video surveillance. A computer system can be trained by different algorithm which can identify the human face in the real time video. Viola-Jones algorithm is proposed in this project. Real time video stream is displayed on a VGA monitor through Cyclone IV FPGA board DE2-115. The input video comes from the Terasic Capacitive MultiTouch LCD with Camera Module(MTLC). The Quartus Prime Lite software is used to operate The FPGA. However, the efficiency of the algorithm does not reach satisfactory level. Furthermore, the algorithm is not successfully applied in real time video stream. The objectives of the project are not achieved.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/11544
dc.language.iso	en	en_US
dc.title	FPGA-based facial detection and tracking design	en_US
dc.type	Other	en_US

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