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| Content Provider | IET Digital Library |
|---|---|
| Author | Zeng, F. X. Huang, Z. T. Ji, Y. F. |
| Abstract | Part-based adaptive appearance model has been extensively used in increasingly popular discriminative trackers. The main problem of these methods is the stability plasticity dilemma. Embedding holistic appearance information in the part-based appearance model which is learned online to alleviate this problem is proposed. Specifically, the object is represented by sparse multi-scale Haar-like features and the appearance model is constructed with a naive Bayes classifier. Unlike the conventional methods, the classifier is trained by positive and negative samples that are weighted according to their similarity with the holistic appearance model, which is kept constant during the updating procedure. The constant holistic appearance information providing some constraints when updating the part-based appearance model makes the tracker more stable. The online updating procedure of the part-based appearance model makes the tracker adaptive enough to appearance changes. Experimental results demonstrate the superior performance of the proposed method compared with several state-of-art algorithms. |
| Starting Page | 1219 |
| Ending Page | 1221 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 49 |
| e-ISSN | 1350911X |
| Issue Number | Issue 19, Sep (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/49/19 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2013.2603 |
| Journal | Electronics Letters |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bayes Method Blooming Discriminative Trackers Computer Vision And Image Processing Technique Embedding Holistic Appearance Information Image Classification Image Representation Naive Bayes Classifier Object Representation Object Tracking Optical, Image And Video Signal Processing Part-based Adaptive Appearance Model Robust Visual Tracking Sparse Multiscale Haar-like Feature Statistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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