Transductive Video Segmentation on Tree-Structured Model

This paper presents a transductive multicomponent video segmentation algorithm, which is capable of segmenting the predefined object of interest in the frames of a video sequence. To ensure temporal consistency, a temporal coherent parametric min-cut algorithm is developed to generate segmentation h...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2017-05, Vol.27 (5), p.992-1005
Hauptverfasser:	Botao Wang, Zhihui Fu, Hongkai Xiong, Zheng, Yuan F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classifiers Clustering Computer simulation Divergence Frames Hypotheses Image segmentation Monte Carlo approximation Motion segmentation Object segmentation Optimization parametric min-cut Proposals Robustness Segmentation State of the art Support vector machines temporal tree transductive learning Video data video segmentation Video sequences Visualization
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