The optical flow has been one of the common approaches for image tracking. Its advantage is that no prior knowledge for image features is required. Since movement information can be obtained based on brightness data only, this method is suitable for tracking tasks of unknown objects. Besides, insects are always masters in chasing and catching preys in the natural world due to their unique compound eye structure. If the edge of the compound eye can be applied to tracking of moving objects, it is highly expected that the tracking performance will be greatly improved.
Conventional images are built on a Cartesian reference system, which is quite different from the hexagonal framework for the compound eye of insects. This thesis explores the distinction of the hexagonal image framework by incorporating the hexagonal concept into the optical flow technology. Consequently, the reason behind why the compound eye is good at tracking moving objects can be revealed. According to simulation results for test images with different features, the hexagonal optical flow method appears to be superior to the traditional optical flow method in the Cartesian reference system.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0902109-170432 |
| Date | 02 September 2009 |
| Creators | Tsai, Yi-lun |
| Contributors | Chau-Chang Wang, Inn-Chyn Her, Hsin-Hung Chen, Chi-Cheng Cheng |
| 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-0902109-170432 |
| Rights | withheld, Copyright information available at source archive |
Page generated in 0.0018 seconds