| Autor: |
Ya-wen WANG, Hong-chang CHEN, Shao-mei LI, Chao GAO |
| Jazyk: |
čínština |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Tongxin xuebao, Vol 37, Pp 92-101 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
1000-436X |
| DOI: |
10.11959/j.issn.1000-436x.2016181 |
| Popis: |
Online Boosting tracking algorithm combined with occlusion sensing was presented.In this method,occlusion sensor was introduced to check the tracking results,and classifier updating strategy was adjusted depending on the occlusion checking results.By this way,the feature pool of the classifier can be kept pure,which will improve the tracking robustness under occlusion.Experimental results show that compared with traditional Boosting tracking algorithm,improved algorithm can solve the problem of occlusion very well. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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