Tutorial on minimum output sum of squared error filter
| dc.contributor.author | Sidhu, Rumpal Kaur, author | |
| dc.contributor.author | Draper, Bruce A., advisor | |
| dc.contributor.author | Beveridge, Ross J., committee member | |
| dc.contributor.author | Troup, Lucy, committee member | |
| dc.date.accessioned | 2016-07-13T14:50:18Z | |
| dc.date.available | 2016-07-13T14:50:18Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | One of the major challenges in computer vision is visual tracking. Many different techniques have been developed for visual tracking over time. Visual tracking using correlation filters is faster than other techniques. A visual tracking technique using Optimized Correlation Output Filters (OCOF), Average of Synthetic Exact Filter (ASEF) and Minimum Output Sum of Squared Error (MOSSE) filters is presented in this tutorial. The MOSSE filter is a stable correlation filter which can be initialized on a single frame of a video. The MOSSE filter adapts with the changes in the appearance of the object while tracking. Tracking using the MOSSE filter is not dependent on changes in lighting, non-rigid transformations, pose, and scale. This work presents systematic steps towards building the filter and its application as a tracker in visual tracking. A number of experiments are performed to demonstrate the working of the tracker. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier.uri | http://hdl.handle.net/10217/173486 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Tutorial on minimum output sum of squared error filter | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Sidhu_colostate_0053N_13486.pdf
- Size:
- 1.7 MB
- Format:
- Adobe Portable Document Format