Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
1998-09-22
2001-09-11
Mancuso, Joseph (Department: 2621)
Image analysis
Applications
Target tracking or detecting
C348S169000
Reexamination Certificate
active
06289110
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to a technique of extracting a specific object in a motion picture, and more particularly to an object extracting method using motion pictures which more accurately and rapidly extracts an object using information of a moving object in a motion picture and color information which defines a color of the object.
2. Description of the Conventional Art
A motion picture is composed of image frames, each frame carries information with respect to an object. Recently, a conventional technique which extracts a specific object using the motion picture can be divided into two ways; one is to extract the object using only color information which defines a color thereof and the other is to extract the object using information of motion changes of the object.
First, the conventional object extracting method using the color information will be explained.
After obtaining a still image frame from a motion picture, a preprocessing step is performed, which generates a color histogram by converting a negative image of the still image frame to a positive image.
Next, red, green and blue (RGB) color domains included in the histogram are converted to hue saturation values (HSV), and color information of the object such as skin-color pixels are obtained. To the color pixels, segmentation occurs through edge detection, hole filtering and gap filtering. Finally, the segments and a predetermined object domain are compared, thus the specific object is extracted.
However, because the conventional object extracting method using only the color information obtains one still image frame using the color information which defines the color of the object and thus extracts the object therefrom, the object may not be accurately obtained. Accordingly, the above object extracting method using the color information requires a considerable operation time to extract the object because RGB color space is converted to HSV color space with respect to the inaccurate object domain.
A face-it method which is the other object extracting method extracts a specific object only using motion information of the object on a motion picture, without using color information thereof. Particularly, the face-it method which extracts a human face designates an area in which there is a movement of a specific object as a face domain candidate and carries out a grey image process for the domain candidate, thereby obtaining information with respect to the corresponding human face. Accordingly, the face-it which extracts the human face with insufficient information has difficulty of accurately extracting a human face.
SUMMARY OF THE INVENTION
Accordingly, an object of the present invention is to provide an object extracting method using a motion picture which accurately and rapidly extracts an object using information of a moving object in a motion picture and color information which define a color of the object.
To achieve these and other advantages and in accordance with the purpose of the present invention, as embodied and broadly described, an object extracting method includes the steps of: obtaining a difference image frame by getting a pair of still image frames having a predetermined time difference from a motion picture and obtaining a color image frame which satisfies color information defining a color of a particular object from one of the still image frames; performing a grid processing of a logic image frame which is obtained from the difference image frame and the color image frame at a predetermined size and obtaining connected components using direction connection information and defining minimum areas each includes the connected components; comparing each of the minimum areas with predetermined conditions, thereby selecting the minimum areas which satisfy the conditions as object area candidates; and selecting and optimizing a largest object area candidate among the object area candidates.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide and further explanation of the invention as claimed.
REFERENCES:
patent: 5748776 (1998-05-01), Yoshida
patent: 5835641 (1998-11-01), Sotoda et al.
patent: 5912980 (1999-06-01), Hunke
patent: 5974175 (1999-10-01), Suzuki
patent: 6028960 (2000-02-01), Graf et al.
Kim Hyeon-June
Lee Jin-Soo
Fleshner & Kim LLP
LG Electronics Inc.
Mancuso Joseph
Tabatabai Abolfazl
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