Presentation 2008-09-25
Camera Motion Compensation Based on Multi Feature Points Tracking
Hirofumi UEMURA, Seiji ISHIKAWA, Krystian MIKOLAJCZYK,
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Abstract(in English) This paper describes an approach to local feature tracking and robust estimation of background motion under camera motion. The main contribution is a robust feature tracking algorithm based on KLT tracker and SIFT as well as a method for estimating dominant planes in the scene. We employ FAST feature detector to obtain large number of features for every frame. The motion vectors for the features are estimated using optical flow and SIFT based matching. The features are combined with the segmented parts on the image to estimate dominant homographies, and then separated into static and moving ones regardless of the camera motion. The camera motion compensation shows very good accuracy on a number of test sequences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) FAST / KLT / SIFT / Feature point tracking / Homography / Optical flow / Camera motion compensation
Paper # SIP2008-90,SIS2008-25
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Committee SIS
Conference Date 2008/9/18(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Camera Motion Compensation Based on Multi Feature Points Tracking
Sub Title (in English)
Keyword(1) FAST
Keyword(2) KLT
Keyword(3) SIFT
Keyword(4) Feature point tracking
Keyword(5) Homography
Keyword(6) Optical flow
Keyword(7) Camera motion compensation
1st Author's Name Hirofumi UEMURA
1st Author's Affiliation Kyushu Institute of Technology()
2nd Author's Name Seiji ISHIKAWA
2nd Author's Affiliation Kyushu Institute of Technology
3rd Author's Name Krystian MIKOLAJCZYK
3rd Author's Affiliation University of Surrey
Date 2008-09-25
Paper # SIP2008-90,SIS2008-25
Volume (vol) vol.108
Number (no) 214
Page pp.pp.-
#Pages 4
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