Abnormal motion detection method and device

A motion detection and abnormal technology, applied in the field of computer vision, can solve the problem of low detection accuracy

Active Publication Date: 2015-08-26
BEIJING DEEPGLINT INFORMATION TECH
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[0009] The embodiment of the present application proposes an abnormal motion detection method and device t...

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  • Abnormal motion detection method and device
  • Abnormal motion detection method and device

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Embodiment Construction

[0028] In order to make the technical solutions and advantages of the present application clearer, the exemplary embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all implementations. Exhaustive list of examples. And in the case of no conflict, the embodiments in this description and the features in the embodiments can be combined with each other.

[0029] The inventor noticed during the invention that:

[0030] Existing action recognition methods are implemented based on color pictures (that is, RGB images), and actions are recognized based on pixel changes. When there are two or more people overlapping in the shot, it is impossible to distinguish which person has made an abnormal movement; moreover, when recognizing movements based on pixel changes, it is easily affected by other factors, for exam...

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Abstract

The application provides an abnormal motion detection method and device. The method comprises the steps that foreground objects in a monitoring video are detected according to depth information; depth difference of the foreground objects between adjacent frames is calculated so that depth difference images are obtained; continuous multiple frames of depth difference images are calculated so that polymerized depth difference images are obtained; features of a histogram of oriented gradients HOG are calculated according to the polymerized depth difference images; and abnormal motions corresponding to the HOG features are predicted by a support vector machine SVM classifier with well grained abnormal motions, and whether the abnormal motions occur on the foreground objects is confirmed according to the prediction result. According to the scheme of the embodiment of the application, the foreground objects in the monitoring video are detected according to the depth information so that people with different distances to a lens of the same position in the frame can be accurately separated, and thus the abnormal motions of each person in the scene can be accurately judged.

Description

technical field [0001] The present application relates to the technical field of computer vision, and in particular to a method and device for detecting abnormal actions. Background technique [0002] The detection of human abnormal movements has great application value in the field of intelligent security. In many monitoring scenarios, it can be used to calculate and process the security camera images, and give real-time warnings when abnormal events occur, such as: abnormalities of people in banks Detection, anomaly detection of people in the square, etc. [0003] At present, the detection of abnormal human actions is mostly based on color image information, and the specific method can be divided into the following two stages: [0004] Training phase: first extract feature points from each frame of the training video, then integrate the feature points of the same frame of images into feature vectors by means of "Bag of Words", and finally train the classifier based on the...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06V40/103G06F18/2411
Inventor 申皓全赵勇
Owner BEIJING DEEPGLINT INFORMATION TECH
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