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US 8,135,172 B2Granted
Image processing apparatus and method thereof
AssigneeKabushiki Kaisha Toshiba
InventorsTsukasa Ike, Yasukazu Okamoto
Life of this patent
Estimating the term…
Abstract
An image processing apparatus estimates an estimated object region including an object on an input image on the basis of a stored object data, obtains a similarity distribution of the estimated object region and peripheral regions thereof by at least one classifier, and obtains an object region coordinate and a template image on the basis of the similarity distribution.
Claims7
An image processing apparatus that tracks an object present in respective images in a time-series image comprising:
- an image input unit configured to input the time-series image;
- a storage unit configured to store object data including object region coordinates which indicate positions of object regions including the object from past images in the time-series image which is images before an input image and a template image for recognizing the object by a template matching;
- an estimating unit configured to perform the template matching for the input image using the object region coordinate of the object data and the template image and estimate an estimated object region which is a region where the object is present;
- a similarity generating unit configured to calculate similarities which indicate probabilities of presence of the object using at least one classifier respectively for the estimated object region and a plurality of peripheral regions of the estimated object region;
- and
- a determining unit configured to determine the object region and the object region coordinate in the input image on the basis of a distribution range having a higher similarity than a threshold value in a similarity distribution including the respective similarities, generate the template image from a partial image in the object region, and replace and update the object region coordinate and the template image in the past image by the object region coordinate and the template image in the input image.
3 more elements
An image processing method comprising:
- inputting a time-series image;
- storing object data including object region coordinates which indicate positions of object regions including an object from past images in the time-series image which is images before an input image and a template image for recognizing the object by a template matching;
- performing the template matching for the input image using the object region coordinate of the object data and the template image and estimating an estimated object region which is a region where the object is present;
- calculating similarities which indicate probabilities of presence of the object using at least one classifier respectively for the estimated object region and a plurality of peripheral regions of the estimated object region;
- and
- determining the object region and the object region coordinate in the input image on the basis of a distribution range having a higher similarity than a threshold value in a similarity distribution including the respective similarities, generating the template image from a partial image in the object region, and replacing and updating the object region coordinate and the template image in the past image by the object region coordinate and the template image in the input image.
3 more elements
An image processing program stored in a non-transitory computer readable media, the program realizing the functions of:
- inputting a time-series image;
- storing object data including object region coordinates which indicate positions of object regions including an object from past images in the time-series image which is images before an input image and a template image for recognizing the object by a template matching;
- performing the template matching for the input image using the object region coordinate of the object data and the template image and estimating an estimated object region which is a region where the object is present;
- calculating similarities which indicate probabilities of presence of the object using at least one classifier respectively for the estimated object region and a plurality of peripheral regions of the estimated object region;
- and
- determining the object region and the object region coordinate in the input image on the basis of a distribution range having a higher similarity than a threshold value in a similarity distribution including the respective similarities, generating the template image from a partial image in the object region, and replacing and updating the object region coordinate and the template image in the past image by the object region coordinate and the template image in the input image.
3 more elements
Dependencies are inferred from the claim text.