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IEEE TRANSACTIONS ON IMAGE PROCESSING NO. XX, XXX 200X 1 Optical Flow Estimation Using Temporally Oversampled Video
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING NO. XX, XXX 200X 1
Optical Flow Estimation Using Temporally Oversampled Video
SukHwan Lim, Member, IEEE, John G. Apostolopoulos, Member, IEEE, and Abbas El Gamal, Fellow, IEEE
Abstract-- Recent advances in imaging sensor technology make
high frame rate video capture practical. As demonstrated in
previous work, this capability can be used to enhance the
performance of many image and video processing applications.
The idea is to use the high frame rate capability to temporally
oversample the scene and thus to obtain more accurate infor-
mation about scene motion and illumination. This information
is then used to improve the performance of image and standard
frame-rate video applications. 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. The method

  

Source: Apostolopoulos, John - Hewlett Packard Research Labs
El Gamal, Abbas - Department of Electrical Engineering, Stanford University

 

Collections: Computer Technologies and Information Sciences; Engineering