Detection device and method for multi-class targets

A detection device and detection method technology, which can be applied to instruments, character and pattern recognition, computer parts and other directions, and can solve problems such as difficulty in classifier training.
CN101853389AInactive Publication Date: 2010-10-06SONY GRP CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SONY GRP CORP
Publication Date
2010-10-06
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to detection device and method for multi-class targets. The detection device comprises an input unit, a joint classifier and a discrimination unit, wherein the input unit is configured to input data to be detected; and the joint classifier comprises multiple strong classifiers which can treat multiple classes of target data, wherein each strong classifier is formed by summarizing a group of weak classifiers, and each weak classifier carries out weak classifying on the data to be detected by using one feature; the discrimination unit is configured to discriminate which class of target data the data to be detected belongs to based on the classifying results of the multiple strong classifiers, the joint classifier contains a shared feature list, and each feature in the list is respectively shared by one or more weak classifiers belonging to different strong classifiers; and the weak classifiers which have the same feature but belong to different strong classifiers have mutually different parameter values.
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Description

technical field

[0001] The invention relates to target detection technology. In particular, it relates to a detection device and a detection method for detecting multiple types of target data. Background technique

[0002] It is becoming more and more important to use machine learning methods to detect target data on images or other data to be detected. Especially object detection in images has become one of the important branches.

[0003] Affected by multiple factors such as illumination, viewing angle, and posture, the same type of object may have a huge difference in the state in the image, which brings great difficulties to the object detection technology in the image. The same type of objects may therefore be divided into multiple sub-categories for processing, but how to effectively utilize the commonality among multiple sub-categories while accurately distinguishing the differences is still a topic that needs further research.

[0004] For multi-class image object...

Claims

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