Method and apparatus for generating, updating classifier, detecting objects and image processing device
AssigneeCanon Kabushiki Kaisha
InventorsLong Jiang, Yong Jiang, Wenwen Zhang
Life of this patent
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Abstract
The present invention relates to method and apparatus for generating, updating classifier, detecting objects, and image processing device. A method for generating a multi-class classifier, comprising the following steps: generating at least one one-class background classifier by using a one-class object classifier and background image regions obtained from a sequence of images; and assembling the one-class object classifier and the at least one one-class background classifier into a multi-class classifier.
Claims22
A method for generating a binary-class classifier for distinguishing an object with a background, comprising the following steps:
- generating a one-class object classifier using at least one object sample;
- selecting background samples from background image regions obtained from a sequence of images, using the one-class object classifier;
- clustering the selected background samples into at least one set of background samples;
- generating at least one one-class background classifier by generating a one-class background classifier for each set of background samples;
- and
- generating the binary-class classifier by assembling the one-class object classifier and the at least one one-class background classifier into the binary-class classifier.
An apparatus for generating a binary-class classifier for distinguishing an object with a background, the apparatus comprising:
- a memory;
- at least one processor coupled to the memory which executes the following:
- generating a one-class object classifier using at least one object sample;
- selecting background samples from background image regions obtained from a sequence of images, using the one-class object classifier;
- clustering the selected background samples into at least one set of background samples;
- generating at least one one-class background classifier by generating a one-class background classifier for each set of background samples;
- and
- generating the binary-class classifier by assembling the one-class object classifier and the at least one one-class background classifier into the binary-class classifier.
Dependencies are inferred from the claim text.