Video Object Segmentation Using Convex Optimization of Foreground and Background Distributions

Jiawei Chen; Jin-Jang Leou

doi:10.1007/978-3-030-50347-5_19

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Video Object Segmentation Using Convex Optimization of Foreground and Background Distributions

Jiawei Chen Jin-Jang Leou

Year: 2020 Lecture notes in computer science Pages: 209-219 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-50347-5_19

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Keywords:

Artificial intelligence Computer science Segmentation Computer vision Image segmentation Maximum a posteriori estimation Object (grammar) Video tracking Convex optimization Optical flow Scale-space segmentation Pattern recognition (psychology) Binary number Segmentation-based object categorization Regular polygon Image (mathematics) Mathematics Maximum likelihood

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Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Object Segmentation Using Convex Optimization of Foreground and Background Distributions

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