Super-Trajectory for Video Segmentation
We introduce a novel semi-supervised video segmentation approach based on an efficient video representation, called as “super-trajectory”. Each super-trajectory corresponds to a group of compact trajectories that exhibit consistent motion patterns, similar appearance and close spatiotemporal relationships. We generate trajectories using a probabilistic model, which handles occlusions and drifts in a robust and natural way. To reliably group trajectories, we adopt a modified version of the...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE International Conference on Computer Vision|
|Book Title:||16th IEEE International Conference on Computer Vision, ICCV 2017|
|01_Wang_Super-Trajectory_for_Video_2017.pdf||1.02 MB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.