The digital image processing has been developed for a long time. The image detection and tracking are involved to a variety of digital techniques. In this research we introduce the digital image processing techniques, base on a boosted cascade of simple features to develop a face detection and tracking system. Due to a large amount of computation in face detection under the complex environment will affect the detection rate and velocity efficiency. Therefore, we use the extended feature and set of 45ﾟ rotated feature with fast feature computation which called the integral image, combine with the deformable templates. We can compute a part of the image block to reduce the computation and improve the system. In the PAN-TILT unit, we use fuzzy logic. The results of experiment show that system is robust and fast.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0716107-154929 |
| Date | 16 July 2007 |
| Creators | Wang, Chien-Yu |
| Contributors | Jyh-Horng Chou, Ing-Rong Horng, Chien-Hsiang Chao, Nan-Chyuan Tsai, Huey-Yang Horng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716107-154929 |
| Rights | unrestricted, Copyright information available at source archive |
Page generated in 0.0018 seconds