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http://hdl.handle.net/123456789/25082
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DC Field | Value | Language |
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dc.contributor.author | Abu Hassan M.F. | - |
dc.contributor.author | Pri A.S. | - |
dc.contributor.author | Ahmad Z. | - |
dc.contributor.author | Tuan Dir T.M.A. | - |
dc.date.accessioned | 2021-08-11T06:27:05Z | - |
dc.date.available | 2021-08-11T06:27:05Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Abu Hassan, M.F., Pri, A.S., Ahmad, Z., Tuan Dir, T.M.A. Scale adaptive region covariance descriptor for visual tracking (2020) IOP Conference Series: Materials Science and Engineering, 932 (1). DOI: 10.1088/1757-899X/932/1/012090. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/25082 | - |
dc.description | This article index by Scopus | en_US |
dc.description.abstract | This paper presents an adaptive approach for scale estimation in a tracking-by detection framework. The proposed method works by learning covariance descriptor based on multi-layer instance search region. Our results show that the proposed approach significantly improves the performance in term of detection rate compared to region covariance descriptor with using a fixed bounding box (single scale). From this work, it is believed that we have constructed a greater solution in choosing best layer for this descriptor, permitting to move forward to the next issues such as fast motion or motion blur for achieving a robust tracking system. | en_US |
dc.publisher | IOP Conference Series: Materials Science and Engineering | en_US |
dc.title | Scale adaptive region covariance descriptor for visual tracking | en_US |
dc.conference.year | 2020 | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Scale adaptive region covariance descriptor for visual tracking.pdf | 31.72 kB | Adobe PDF | View/Open Request a copy |
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