Tao Zhuo, Zhiyong Cheng*, Peng Zhang*, Yongkang Wong, and Mohan Kankanhalli
| Measure | NLC | LMP | FSEG | ARP | UOVOS |
|---|---|---|---|---|---|
| J Mean | 64.1 | 69.7 | 71.6 | 76.3 | 77.8 |
| J Recall | 73.1 | 82.9 | 87.7 | 89.2 | 93.6 |
| J Decay | 8.6 | 5.6 | 1.7 | 3.6 | 2.1 |
| F Mean | 59.3 | 66.3 | 65.8 | 71.1 | 72.0 |
| F Recall | 65.8 | 78.3 | 79.0 | 82.8 | 87.7 |
| F Decay | 8.6 | 6.7 | 4.3 | 7.3 | 3.8 |
| T | 36.6 | 68.8 | 29.5 | 35.9 | 33.0 |
NLC: Video Segmentation by Non-Local Consensus voting. A. Faktor, M. Irani, BMVC 2014.
LMP: Learning Motion Patterns in Videos. P. Tokmakov, K. Alahari, C. Schmid, CVPR 2017.
FSEG: FusionSeg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos. S. Jain, B. Xiong, K. Grauman, CVPR 2017.
ARP: Primary Object Segmentation in Videos Based on Region Augmentation and Reduction. Y.J. Koh, C.-S. Kim, CVPR 2017.
Ubuntu
Matlab
Python2.7
Opencv_3.4
Mask-RCNN https://github.com/matterport/Mask_RCNN
If you use this code, please cite the following paper:
@article{zhuo2018unsupervised, title={Unsupervised Online Video Object Segmentation with Motion Property Understanding}, author={Zhuo, Tao and Cheng, Zhiyong and Zhang, Peng and Wong, Yongkang and Kankanhalli, Mohan}, journal={arXiv preprint arXiv:1810.03783}, year={2018} }
Tao Zhuo (zhuotao@nus.edu.sg)