Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2008-03-18
2008-03-18
Johns, Andrew W. (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S162000, C382S254000
Reexamination Certificate
active
11514968
ABSTRACT:
An illumination-invariant object tracking method and an image editing system using the same are provided. The illumination-invariant object tracking method involves: designating an initial position of an object of interest to be tracked in an image; constructing a probability map for object tracking in consideration of a color ratio of adjacent pixels in the image; and performing Kalman filtering based on the initial position of the object and the probability map. The image editing system based on the illumination-invariant object tracking method includes: a data input unit which receives an image to be edited; an object tracking unit which tracks a target object in consideration of a color ratio of adjacent pixels in the image; an image editing unit which edits and outputs an edited image in a predetermined region of the image, in response to information on the position, size, and boundary of the tracked target object.
REFERENCES:
patent: 5912980 (1999-06-01), Hunke
patent: 6539099 (2003-03-01), Kellner
patent: 6917692 (2005-07-01), Murching et al.
patent: 2002/0076087 (2002-06-01), You et al.
patent: 2002/0176001 (2002-11-01), Trajkovic
patent: 0170698 (1998-10-01), None
Brian V. Funt, “Color Constant Color Indexing”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, vol. 17, No. 5, pp. 522-529 (cited in specification).
K. Schwerdt et al: “Robust Face Tracking Using Color”, Automatic Face and Gesture Recognition 2000, Proceedings. Fourth IEEE International Conference on Grenoble, France, Mar. 28-30, 2000, pp. 90-95, IEEE.
Tae-Woong Yoo et al: “A Method for Real-Time Face Region Tracking Based on Color Histogram”, Proceedings of the International Society for Optical Engineering, 1996, pp. 361-365, vol. 2739.
Cho In-myung
Kim Tae-kyun
Lee Jong-ha
Buchanan & Ingersoll & Rooney PC
Johns Andrew W.
LandOfFree
Illumination-invariant object tracking method and image... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Illumination-invariant object tracking method and image..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Illumination-invariant object tracking method and image... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3939052