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- W2946005259 abstract "Moving Object detection is a technique in computer vision in which multiple consecutive frames from a video are compared by applying various detection techniques to determine movement of an object. The most challenging task in motion detection is object tracking. In this paper we have proposed an effective framework for tracking down the moving object in which least square linear-phase Finite Impulse Response Filter is used for smoothing of image while optical flow estimation is used to calculate the motion between two images, median filter removes noise from a frame and motion vector estimation is used to find the variation in pixel movement using successive frames." @default.
- W2946005259 created "2019-05-29" @default.
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- W2946005259 date "2019-01-01" @default.
- W2946005259 modified "2023-10-16" @default.
- W2946005259 title "Robust Moving Object Detection and Tracking Framework Using Linear Phase FIR Filter" @default.
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- W2946005259 doi "https://doi.org/10.1007/978-981-13-8300-7_4" @default.
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