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Method for modeling abnormal events in multi-visual angle video monitoring based on temporal-spatial correlation information

An abnormal event, time-space correlation technology, applied in CCTV systems, computer parts, character and pattern recognition, etc., can solve the problems of neglecting time and space correlation, abnormal event false detection, missed detection, etc.

Inactive Publication Date: 2012-08-01
TIANJIN UNIV
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Problems solved by technology

Existing monitoring video abnormal event detection has two significant shortcomings: 1) The existing abnormal event detection modules mostly rely on the formulation of specific rules to detect simple abnormal events (such as: reverse driving, speeding, etc.) under the monocular camera. This makes intelligent monitoring have obvious limitations; 2) Existing detection modules treat the videos collected by cameras from different perspectives independently and detect them separately, ignoring the temporal and spatial correlation between the cameras, which often results in A large number of false detections and missed detections of abnormal events

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  • Method for modeling abnormal events in multi-visual angle video monitoring based on temporal-spatial correlation information
  • Method for modeling abnormal events in multi-visual angle video monitoring based on temporal-spatial correlation information
  • Method for modeling abnormal events in multi-visual angle video monitoring based on temporal-spatial correlation information

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Embodiment Construction

[0026] The framework of the abnormal event modeling method based on spatio-temporal correlation information proposed by the present invention is as follows: figure 1 shown. For the analysis of abnormal events in multi-view surveillance video, classifiers are learned for specific semantic events in videos captured by each camera, and then the semantic events are detected by using the spatio-temporal information under multi-view through the fusion of multiple classifiers. The model construction includes the following three key steps:

[0027] (1) Spatio-temporal local feature extraction

[0028] The feature description method based on local interest points can effectively describe the target and its motion characteristics. Compared with the global method, the local method has good invariance to pose, illumination, occlusion, deformation, and complex background. Since the semantic events in the surveillance video usually contain the motion characteristics of the target, the pre...

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Abstract

The invention relates to video processing, semantics extraction and the like. In order to provide a method for modeling abnormal events in multi-visual angle video monitoring based on temporal-spatial correlation information, the technical scheme is that: the method for modeling the abnormal events in the multi-visual angle video monitoring based on the temporal-spatial correlation information comprises the following steps of: (1) extracting temporal-spatial local characteristics, namely (a) detecting temporal-spatial characteristic interest points and (b) describing the temporal-spatial characteristic interest points; (2) constructing a word bag, namely (a) constructing a codebook and (b) projecting key points based on the codebook, wherein the work bag is a method for characterizing video units in the form of a statistical histogram by using extracted characteristic points; and (3) modeling the abnormal events, particularly for (a) videos acquired by monocular cameras and (b) the probability of the abnormal events which are output by an abnormal event detecting module under multi-visual angle monitoring videos. The method is mainly applied to the video processing.

Description

technical field [0001] The invention relates to video processing, semantic extraction, etc., and specifically relates to a method for modeling abnormal events in multi-view video monitoring based on temporal and spatial correlation information. Background technique [0002] As an effective means of modern security, video surveillance system has been paid more and more attention by the society. However, the traditional digital video surveillance system only provides simple functions such as video capture, storage, and distribution, and the judgment of abnormal events can only be realized by people. Such a surveillance system not only requires a huge amount of manpower to maintain, but also greatly improves The operating cost of the system is increased, and the use of people to monitor for a long time also reduces the security performance of the system. Therefore, the existing monitoring system can no longer meet the current security needs. The new-generation monitoring syst...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18G06K9/66
Inventor 刘安安苏育挺
Owner TIANJIN UNIV
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