Object detecting system and method based on multiple classifiers

An object detection, multi-classifier technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as high computational complexity, inability to adapt to real-time processing, etc., to achieve the effect of improving speed

Active Publication Date: 2008-08-27
SHENZHEN TENCENT COMP SYST CO LTD
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Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a multi-classifier-based object detection system and method for

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  • Object detecting system and method based on multiple classifiers
  • Object detecting system and method based on multiple classifiers
  • Object detecting system and method based on multiple classifiers

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Embodiment Construction

[0035] Object detection in images follows the main framework in the form of features + classification algorithms, which together form a classifier. Using a classifier to detect objects in images mainly includes two tasks: one is the training of the classifier, that is, to obtain the model of the object to be detected from the pre-labeled training data; the other is the detection of the classifier, that is, to face the unknown Image data, resulting in a determination of the presence and location of a particular object type.

[0036] Such as figure 1 Shown is a schematic diagram of an embodiment of an object detection system based on multiple classifiers in the present invention. The system includes a classifier training unit 11 , a classifier selection unit 12 , a classifier distribution unit 13 and a detection result fusion unit 14 .

[0037] The classifier training unit 11 is used for training N mutually independent classifiers according to the training set (ie image featur...

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Abstract

The invention relates to the computer image processing field and discloses an object detection system based on a multi-classifier, which comprises: a classifier training unit used to obtain N classifiers according to the training of a training set, wherein, N is more than one; a classifier selection unit used to select P classifiers from the N classifiers according to the computational amount and the classification performance to fusingly obtain a classifier set, wherein, P is more than one, and is less than or equal to N; a classifier distribution unit used to distribute the P classifiers to a plurality of different computing resources to respectively detect an unknown image to obtain P classifier results; a detection result fusion unit used to fuse the P classifier results to obtain an object detection result. The invention also provides a corresponding method. The invention aims at a plurality of different features in the image to respectively train a plurality of classifiers, and selects the classifiers suitable for distributed operation to be distributed to different computing resources to respectively detect the image, thereby improving the speed of object detection.

Description

technical field [0001] The present invention relates to the field of computer image processing, more specifically, to an object detection system and method based on multi-classifiers. Background technique [0002] Usually, the object detection in the image is mainly realized by object feature representation method and object detection method, in which the object feature representation method extracts features from the image, and then effectively represents the object; while the object detection method uses feature representation to judge the existence of the object . The following is the research status of object feature representation methods and object detection methods. [0003] (a) Object Feature Representation [0004] There are roughly the following types of features: image pixel features, edge features, frequency domain features, local area description features, and histogram features. Table 1 is a comparison of various feature representation methods. [0005] ...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 王建宇王亮
Owner SHENZHEN TENCENT COMP SYST CO LTD
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