Comparison of Tracking Techniques on 360-Degree Videos
AbstractWith the availability of 360-degree cameras, 360-degree videos have become popular recently. To attach a virtual tag on a physical object in 360-degree videos for augmented reality applications, automatic object tracking is required so the virtual tag can follow its corresponding physical object in 360-degree videos. Relative to ordinary videos, 360-degree videos in an equirectangular format have special characteristics such as viewpoint change, occlusion, deformation, lighting change, scale change, and camera shakiness. Tracking algorithms designed for ordinary videos may not work well on 360-degree videos. Therefore, we thoroughly evaluate the performance of eight modern trackers in terms of accuracy and speed on 360-degree videos. The pros and cons of these trackers on 360-degree videos are discussed. Possible improvements to adapt these trackers to 360-degree videos are also suggested. Finally, we provide a dataset containing nine 360-degree videos with ground truth of target positions as a benchmark for future research. View Full-Text
Share & Cite This Article
Mi, T.-W.; Yang, M.-T. Comparison of Tracking Techniques on 360-Degree Videos. Appl. Sci. 2019, 9, 3336.
Mi T-W, Yang M-T. Comparison of Tracking Techniques on 360-Degree Videos. Applied Sciences. 2019; 9(16):3336.Chicago/Turabian Style
Mi, Tzu-Wei; Yang, Mau-Tsuen. 2019. "Comparison of Tracking Techniques on 360-Degree Videos." Appl. Sci. 9, no. 16: 3336.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.