caa a22 4500 605446555 CHVBK 20210128100127.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11042-014-2167-z doi (NATIONALLICENCE)springer-10.1007/s11042-014-2167-z Accurate and robust ROI localization in a camshift tracking application [Elektronische Daten] [Shwu-Huey Yen, Chun-Hui Wang, Jui-Chen Chien] 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. Springer Science+Business Media New York, 2014 Camshift nationallicence Mean shift nationallicence Tracking nationallicence Surveillance nationallicence Flood-fill nationallicence Yen Shwu-Huey PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut Wang Chun-Hui PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut Chien Jui-Chen PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10291-10312 1380-7501 74:23<10291 2015 74 11042 https://doi.org/10.1007/s11042-014-2167-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2167-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yen Shwu-Huey PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut NATIONALLICENCE 700 1- Wang Chun-Hui PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut NATIONALLICENCE 700 1- Chien Jui-Chen PRIA. Laboratory, Department of Computer Science and Information Engineering, Tamkang University, 151, Yingzhuan Road, 25137, New Taipei, Taiwan, Republic of China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10291-10312 1380-7501 74:23<10291 2015 74 11042