DocumentCode :
3398656
Title :
Generation of future image frames using optical flow
Author :
Verma, Nishchal K. ; Singh, Shikha
Author_Institution :
Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
7
Abstract :
This research work presents a novel approach for generation of future image frames using optical flow method that estimates velocity of all the pixels in both axes of images in an image sequence. Direction and magnitude of velocity vector field helps in finding the changes in term of pixel intensity from one image to another. The pixel intensity change from one image to another is modeled Takagi-Sugeno fuzzy model (TSFM) in both directions. This network predicts velocities of each pixel and then corresponding pixels intensities are mapped to their new position. The resulting scheme has been applied successfully on an image sequence of landing fighter plane. The proposed approach is able to generate upto ten future image frames successfully. For the quality assessment of future generated images Canny edge detection based Image Comparison Metric (CIM) and Mean Structural Similarity Index Measure (MSSIM) is used. All the ten future generated images have been compare qualitatively against the test images and the results found are encouraging.
Keywords :
edge detection; fuzzy set theory; image sequences; CIM; Canny edge detection based image comparison metric; MSSIM; TSFM; Takagi-Sugeno fuzzy model; future image frames; image sequence; mean structural similarity index measure; optical flow method; pixel intensity; velocity vector field; Computer integrated manufacturing; Computer vision; Image motion analysis; Image sequences; Indexes; Optical imaging; Time series analysis; Future Image Frames; Image Quality; Optical Flow; Takagi-Sugeno Fuzzy Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR): Sensing for Control and Augmentation, 2013 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2013.6749339
Filename :
6749339
Link To Document :
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