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Optical Flow Estimation Using Temporally Oversampled Video

Overview Recent advances in imaging sensor technology make high frame rate video capture practical. The paper investigates the use of temporal oversampling to improve the accuracy of optical flow estimation (OFE). A method for obtaining high accuracy optical flow estimates at a conventional standard frame rate, e.g. 30 frames/s, by first capturing and processing a high frame rate version of the video is presented. The method uses the Lucas-Kanade algorithm to obtain optical flow estimates at a high frame rate, which are then accumulated and refined to estimate the optical flow at the desired standard frame rate.

Further White Paper Details
Publisher	Hewlett-Packard	File Format	PDF
Date Published	September 2004	Downloads	1
Format	White Papers
Topics	N/A

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