Method and device for detecting object with anomaly in motion direction
A technology of motion direction and object detection, applied in the detection field, can solve the problems of feature map weight reduction, small response difference, false detection, etc., and achieve the effect of improving algorithm reliability and detection effect, and reducing calculation amount
Inactive Publication Date: 2012-08-29
BEIHANG UNIV
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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 extreme value To measure the significance, it is easy to cause the weight of the feature map that should be given a high weight to be reduced instead, resulting in false detection
At the same time, the pseudo extreme points generated in the feature extraction process will also affect the detection effect.
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[0040] In general, the current multi-scale expression content can be discarded, and the calculation can only be performed on the original scale, so as to achieve the purpose of reducing the amount of calculation; moreover, the feature map can be normalized based on the area of the motion area as a comparison basis, avoiding the The adverse effects brought by the pseudo-extreme points in the extreme value detection normalization method are more in line with the purpose of detecting objects with the most distinctive motion directions in the global anomaly detection, and it can also better meet the physiological requirements of the human eye visual attention mechanism. Definition. For example: replace multi-scale expression with a single scale, and propose a novel normalization algorithm, and use the idea of visual attention to compare moving objects with different moving directions in the video, and then extract objects with different moving directions task.
[0041] see f...
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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 object with an abnormal moving direction. Background technique [0002] Abnormal motion direction detection is an important research content in the field of video surveillance for automatic monitoring of abnormal objects in motion. Its application in the field of traffic monitoring is gradually gaining people's attention, realizing the automation of traffic violations such as retrograde and abnormal steering. Monitoring will greatly improve the execution efficiency of the traffic supervision department and effectively prevent the recurrence of similar violations. [0003] The existing motion direction anomaly detection method 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 finally acc...
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IPC IPC(8): G06T7/20G08G1/017
Inventor 樊巧云江洁宋治杭张广军
Owner BEIHANG UNIV