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- W2603935707 abstract "This paper proposed a framework based on reinforcementlearning for color object segmentation in videosequences. This agent-based method is used to find the appropriatevalues to detect an object. The reinforcement learningagent contains some sample images and their ground truthfrom which to learn. The information obtained from theexploration/exploitation of the solution space is used by theintelligent agent to enhance the quality of the segmented imageover time. As the proposed method uses a dynamic framework, it has a good potential for color object segmentation applicationin video sequences." @default.
- W2603935707 created "2017-04-07" @default.
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- W2603935707 date "2016-12-01" @default.
- W2603935707 modified "2023-10-17" @default.
- W2603935707 title "Deep Reinforcement Learning for Object Segmentation in Video Sequences" @default.
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- W2603935707 doi "https://doi.org/10.1109/csci.2016.0166" @default.
- W2603935707 hasPublicationYear "2016" @default.
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