This thesis presents an algorithm that estimates motion in image sequence using
wavelet transform. The motion detection is performed under unfavorable conditions of
background movement, change of brightness, and noise. The algorithm is tolerant to
brightness changes, noise, and small movement in the background. The false alarm
rate of motion detection is reduced as compared to standard techniques. Using wavelet
transform is numerically efficient and the storage requirements are significantly
reduced. Also, a more accurate motion detection is achieved. Tests performed on real
images show the effectiveness of this algorithm. Practical results of motion detection
are presented. / Graduation date: 2003
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/31658 |
| Date | 19 March 2003 |
| Creators | Lee, Jeongmin |
| Contributors | Kolodziej, Wojtek J. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0092 seconds