Semantic-apparent feature-fusion-based unsupervised foreground segmentation method

Xi Li; Huimin Ma; Hongbing Ma; Yidong Wang

doi:10.11834/jig.200442

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Semantic-apparent feature-fusion-based unsupervised foreground segmentation method

Xi Li Huimin Ma Hongbing Ma Yidong Wang

Year: 2021 Journal: Journal of Image and Graphics Vol: 26 (10)Pages: 2503-2513 Publisher: University of Portsmouth

DOI: 10.11834/jig.200442

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Keywords:

Artificial intelligence Computer science Pattern recognition (psychology) Feature (linguistics) Fusion Segmentation Semantic feature Natural language processing

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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

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Semantic-apparent feature-fusion-based unsupervised foreground segmentation method

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