Accurate and robust ROI localization in a camshift tracking application
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| 003 | CHVBK | ||
| 005 | 20210128100127.0 | ||
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| 008 | 210128e20151201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-2167-z |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-2167-z | ||
| 245 | 0 | 0 | |a Accurate and robust ROI localization in a camshift tracking application |h [Elektronische Daten] |c [Shwu-Huey Yen, Chun-Hui Wang, Jui-Chen Chien] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Camshift |2 nationallicence | |
| 690 | 7 | |a Mean shift |2 nationallicence | |
| 690 | 7 | |a Tracking |2 nationallicence | |
| 690 | 7 | |a Surveillance |2 nationallicence | |
| 690 | 7 | |a Flood-fill |2 nationallicence | |
| 700 | 1 | |a Yen |D Shwu-Huey |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | |
| 700 | 1 | |a Wang |D Chun-Hui |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | |
| 700 | 1 | |a Chien |D Jui-Chen |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/23(2015-12-01), 10291-10312 |x 1380-7501 |q 74:23<10291 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-2167-z |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-2167-z |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yen |D Shwu-Huey |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Chun-Hui |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Chien |D Jui-Chen |u PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/23(2015-12-01), 10291-10312 |x 1380-7501 |q 74:23<10291 |1 2015 |2 74 |o 11042 | ||