| Accurate and robust ROI localization in a camshift tracking application | |
|---|---|
| 學年 | 104 |
| 學期 | 1 |
| 出版（發表）日期 | 2015-12-01 |
| 作品名稱 | Accurate and robust ROI localization in a camshift tracking application |
| 作品名稱（其他語言） | |
| 著者 | Yen, Shwu-Huey; Wang, Chun-Hui; Chien, Jui-Chen |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | New York: Springer New York LLC |
| 著錄名稱、卷期、頁數 | Multimedia Tools and Applications 74(23), pp.10291–10312 |
| 摘要 | Camshift has been well accepted as one of the most popular methods for object tracking. However, it fails to address complex situations, such as similar color interference, object occlusion, and illumination changes. In this paper, we enhance Camshift to enable it to handle the above-mentioned problems. A two-dimensional (2D) histogram of the hue and luminance is used for the color features of the target. To reduce the influence from irrelevant background pixels, a Flood-fill operation is implemented. The obtained 2D target model can precisely describe the target as well as achromatic points. A similarity score is evaluated to prevent similar color interference. When a target’s colors are not distinguishable from the background colors, motion information will contribute to the tracking task. Finally, an average rate change is adopted to maintain progressive but not abrupt changes in the window size. The proposed algorithm has been extensively tested. The results are satisfactory while maintaining the processing in real time. |
| 關鍵字 | Camshift;Mean shift;Tracking;Surveillance;Flood-fill |
| 語言 | en_US |
| ISSN | 1380-7501;1573-7721 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Yen, Shwu-Huey |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98573 ) |
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