Video
BibTex
@inproceedings{Burg:2021:10.20380/GI2021.21,
author = {Burg, Ludovic and Lino, Christophe and Christie, Marc},
title = {Real-Time Cinematic Tracking of Targets in Dynamic Environments},
booktitle = {Proceedings of Graphics Interface 2021},
series = {GI 2021},
year = {2021},
issn = {0713-5424},
isbn = {978-0-9947868-6-9},
location = {Virtual Event},
pages = {186 -- 195},
numpages = {10},
doi = {10.20380/GI2021.21},
publisher = {Canadian Information Processing Society},
}
Abstract
Tracking in a cinematic way a moving target inside a 3D dynamic environment remains a challenging problem. This requires to simultaneously ensure a low computational cost, a good degree of reactivity and a high cinematic quality despite sudden changes. In this paper, we draw on the idea of Motion-Predictive Control to propose an efficient real-time camera tracking technique which ensures these properties. Our approach relies on the predicted motion of a target to create and evaluate a very large number of camera motions using hardware ray casting. Our evaluation of camera motions includes a range of cinematic properties such as distance to target, visibility, collision, smoothness and jitter. Experiments are conducted to display the benefits of the approach with relation to prior work.