Method and device for detecting object with anomaly in motion direction

A motion direction and object detection technology, applied in the field of detection, can solve the problems of reduced feature map weight, little difference in response, false detection, etc., to reduce the amount of calculation, improve the reliability of the algorithm and the effect of detection effect

Inactive Publication Date: 2011-01-19
BEIHANG UNIV
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Problems solved by technology

This operator is effective for the features of static images, but for the motion direction feature map, since the feature maps corresponding to different directions only respond to the object area moving in this direction, and the response of different areas is not very different; therefore, if the ext

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  • Method and device for detecting object with anomaly in motion direction
  • Method and device for detecting object with anomaly in motion direction
  • Method and device for detecting object with anomaly in motion direction

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Embodiment Construction

[0047] In general, the current multi-scale expression content can be discarded, and only the original scale can be calculated, so as to achieve the purpose of reducing the amount of calculation; and the feature map can be normalized based on the area of ​​the motion area as a comparison basis, avoiding the need for The adverse effects brought by the pseudo-extreme points in the normalization method of extreme value detection are more in line with the purpose of detecting objects with the most distinctive moving directions in global anomaly detection, and are also more suitable for physiological concerns about the visual attention mechanism of the human eye. Definition. For example, a single scale is used to replace multi-scale expression, and a novel normalization algorithm is proposed, and the idea of ​​visual attention is used to complete the comparison of moving objects with different moving directions in the video, and then extract objects with different moving directions. ...

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Abstract

The invention discloses a method and a device for detecting an object with anomaly in motion direction, which can obtain spatial derivatives and time derivatives, obtain characteristic patterns in the motion direction by fusing the two, further carry out normalization by taking the area of a motion region as comparison basis, merge the characteristic patterns in the motion direction in all the directions, and obtain a final saliency map in the motion direction. The device has simple structure and can significantly reduce the calculation quantity; the normalization algorithm relying on area comparison has better detection effect than the current normalization algorithm relying on extreme values, and is more in line with the definition of the anomaly in the motion direction; and the method and the device can lead the detection success rate for natural scenes and non-natural scenes to be higher than that of the prior art, and have the capability of sustainedly tracking the object with the anomaly in the motion direction. Obviously, the method and the device for detecting the object with the anomaly in the motion direction can reduce the calculation quantity, improve the reliability of the algorithm and improve the detection effect.

Description

technical field [0001] The invention relates to detection technology, in particular to a method and device for detecting an abnormal object in a moving direction. Background technique [0002] Motion direction anomaly detection is an important research content in the field of video surveillance for automatic monitoring of abnormal objects in motion. The application in the field of traffic monitoring is gradually gaining attention, to realize the automation of vehicles that violate traffic rules such as retrograde and abnormal steering. Monitoring will greatly improve the enforcement efficiency of traffic supervision departments and effectively prevent the recurrence of similar violations. [0003] The existing abnormal motion direction detection methods can extract the motion direction features of each moving object in the scene, and compare the extracted motion direction features with each other to determine the most significant direction in each motion direction, and final...

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Application Information

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IPC IPC(8): G06T7/20G08G1/017
Inventor 江洁宋治杭张广军
Owner BEIHANG UNIV
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