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- W2609222316 abstract "Moving object tracking and masking have become more inspiring and significant task in computer vision and surveillance application. Key step towards tracking is detection. The next and main step is tracking, which is the process of finding the path of the object across the video sequence. Masking is the novel approach in video analysis. Masking is the process of discerning the region of moving object which is not to be revealed. Masking of particular object can be used in various applications like media conversation, Traffic monitoring, video conferencing. In the proposed system background subtraction algorithm is used for detecting moving objects in video, which is the most widely used approach. Tracking is done by using mean-shift tracking technique, in which the target region is tracked. Finally in the masking phase the selected tracked frames are processed and RGB masking is applied to every frame. Experimental result shows that the proposed method masks the target region efficiently." @default.
- W2609222316 created "2017-05-05" @default.
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- W2609222316 date "2016-01-01" @default.
- W2609222316 modified "2023-09-22" @default.
- W2609222316 title "Masking selected region of moving object using RGB masking Technique" @default.
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- W2609222316 doi "https://doi.org/10.1109/icatcct.2016.7912027" @default.
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