Crowd movement track anomaly detection method for complicated structuring scenes

A technology of motion trajectory and complex structure, applied in image data processing, instrumentation, calculation, etc., can solve the problems of inefficient and inaccurate crowd abnormal motion trajectory, and achieve the effect of meeting actual needs and good robustness

Active Publication Date: 2015-06-10
北交智轨(北京)科技有限公司
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  • Abstract
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Problems solved by technology

[0008] The purpose of the present invention is to provide a method for abnormal detection of crowd movement trajectories in complex structured scenes, which solves the problem of inefficiency and inaccuracy in the detection of abnormal crowd movement trajectories in surveillance video data of complex structured scenes

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  • Crowd movement track anomaly detection method for complicated structuring scenes
  • Crowd movement track anomaly detection method for complicated structuring scenes
  • Crowd movement track anomaly detection method for complicated structuring scenes

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Embodiment Construction

[0046] In order to explain the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and drawings. Similar components in the drawings are denoted by the same reference numerals. Those skilled in the art should understand that the content described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0047] Such as figure 1 As shown, the method for detecting abnormal crowd movement trajectory in complex structured scenes provided by this embodiment first extracts the key points of crowd movement trajectories in the complex structured scenes in the historical surveillance video data—that is, movement trend change points. These key points are usually located at road turning points, obstacles, etc., complex structured scenes such as figure 2 Shown. According to the key points of the crowd movement trajectory, the crowd movement trajectory can be ...

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Abstract

The invention discloses a crowd movement track anomaly detection method for complicated structuring scenes. The crowd movement track anomaly detection method comprises the steps of extracting crowd movement tracks in the complicated structuring scenes in monitoring video record data and segmenting the crowd movement tracks to obtain segmented crowd movement tracks; learning the segmented crowd movement tracks based on a maximum-minimum distance multi-center clustering algorithm to obtain all segmented crowd movement track categories; extracting the crowd movement tracks within the complicated structuring scenes in current monitoring video data and conducting an LOF algorithm based anomaly detection on the crowd movement tracks within the complicated structuring scenes in the current monitoring video data. The crowd movement track anomaly detection method for the complicated structuring scenes has high robustness, applicability, effectiveness and efficiency on the aspect of anomaly detection in the complicated structuring scenes compared with other algorithms in the prior art and can well meet the actual demand.

Description

Technical field [0001] The invention relates to complex structured scene processing in intelligent video monitoring technology. More specifically, it relates to a method for detecting anomaly of crowd motion trajectory for complex structured scenes. Background technique [0002] In recent years, intelligent video surveillance has been widely used in many industries and related fields. At present, most of the medium-sized and above communities are equipped with safety monitoring. The forestry and animal husbandry departments have set up fire monitoring to prevent mountain fires. The transportation department has also set up road monitoring for the purpose of tracking illegal vehicles and observing road flow. A report (J.Vlahos.. Surveillance society: New high-tech cameras are watching you.. Popular Mechanics, 2008, Volume 2, Issue 3, Pages: 64-69.) pointed out that by 2008, there were already As many as 30 million video surveillance equipment have been installed in major public ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 刘渭滨崔静邢薇薇卢伟
Owner 北交智轨(北京)科技有限公司
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