Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2006-03-21
2010-06-01
Bella, Matthew C (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S100000, C382S106000, C382S107000, C382S154000, C382S224000
Reexamination Certificate
active
07729512
ABSTRACT:
A first image and a second image are obtained by sensing an image of a moving object from two different viewpoints using a first imaging device and a second imaging device. A plurality of feature points are detected from the first image. A disparity distribution representing a disparity for each feature point is obtained by performing stereo image processing using the first image and the second image. A threshold is determined for disparities in the disparity distribution. A feature point having a disparity exceeding the threshold in the disparity distribution is classified as an intra-moving-object feature point. An image area of the moving object in the first image is detected by using the intra-moving-object feature point.
REFERENCES:
patent: 5103305 (1992-04-01), Watanabe
patent: 5727078 (1998-03-01), Chupeau
patent: 6072903 (2000-06-01), Maki et al.
patent: 7251346 (2007-07-01), Higaki et al.
patent: 7366325 (2008-04-01), Fujimura et al.
patent: 7403634 (2008-07-01), Nishiura
patent: 2004/0252862 (2004-12-01), Camus et al.
patent: 9-185720 (1997-07-01), None
patent: 2004-299025 (2004-10-01), None
patent: 2004-301607 (2004-10-01), None
Office Action dated May 13, 2008 in JP Patent Application Serial No. 2005-084479 with English translation.
Bella Matthew C
Kabushiki Kaisha Toshiba
Nixon & Vanderhye PC
Rush Eric
LandOfFree
Stereo image processing to detect moving objects does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Stereo image processing to detect moving objects, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stereo image processing to detect moving objects will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4185969