Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning
We tackle the problem of semantic segmentation of dynamic scene in video sequences. We propose to incorporate foreground object information into pixel labeling by jointly reasoning semantic labels of super-voxels, object instance tracks and geometric relations between objects. We take an exemplar approach to object modeling by using a small set of object annotations and exploring the temporal consistency of object motion. After generating a set of moving object hypotheses, we design a CRF...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015|
|01_Liu_Multi-class_Semantic_Video_2015.pdf||823.36 kB||Adobe PDF||Request a copy|
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