Method for detecting monitored video abnormal event based on trace analysis

An abnormal event and trajectory analysis technology, applied in computer parts, instruments, character and pattern recognition, etc., can solve problems such as complex semantic event detection

Inactive Publication Date: 2011-09-28
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, when faced with a multi-camera surveillance network, external factors such as the increase in the number of individuals, the difference in motion rules and parameters under different perspectives, and the diversity of specific event descriptions under different perspectives make the detection of semantic events very complicated.

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  • Method for detecting monitored video abnormal event based on trace analysis
  • Method for detecting monitored video abnormal event based on trace analysis
  • Method for detecting monitored video abnormal event based on trace analysis

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Embodiment Construction

[0021] The motivation of the surveillance video anomaly event detection method based on trajectory analysis lies in figure 1 The enumerated abnormal events can be judged by the target trajectory and prior knowledge, which is suitable for the detection of abnormal events that can explicitly define the judgment rules. Due to the different numbers and trajectories of moving targets involved in different events, abnormal events are divided into abnormal events consisting of single, double, and multi-person behaviors, such as figure 1 shown.

[0022] Individual motion usually includes trajectory features such as position, motion direction, speed, acceleration, etc. Based on the individual motion characteristics, the relative motion characteristics between two people and the group motion characteristics of multiple people can be calculated. Different from the problem of video event detection under a monocular camera, for multi-camera intelligent monitoring, it is necessary to calcu...

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Abstract

The invention relates to video processing, mode identification and the like. In order to provide a video abnormal event detection method by which a multi-motion parameter variation rule of the same event in a plurality of visual angles of a cross camera can be represented and of which the accuracy is high, the technical scheme of the invention is that: a method for detecting a monitored video abnormal event based on trace analysis comprises the following steps of: 1, classifying abnormal events based on the trace analysis; and 2, modeling the abnormal events based on a dynamic Bayesian network, wherein the modeling is finished by the following three steps of: a, constructing the dynamic Bayesian network which consists of three levels from bottom to top, namely a characteristic layer, an element layer and an event layer; b, learning the dynamic Bayesian network in the following three situations: firstly, the labels and the number of elements are known; secondly, the number of the elements is known and the labels are unknown; and thirdly, the number of the elements and the labels are unknown; and c, selecting a characteristic. The method is mainly applied to video processing, mode identification and the like.

Description

technical field [0001] The invention relates to video processing, pattern recognition, etc., and specifically relates to a monitoring video abnormal event detection method based on track analysis. Background technique [0002] The amount of information that the current network-based video surveillance system can provide is increasing rapidly, and in the face of the massive video data collected, it is basically impossible to rely solely on manpower for effective analysis and management of monitoring. The introduction of intelligent video processing technology It is imperative; at the same time, the emergence of interactive technology makes video surveillance users no longer passive recipients of information. They can selectively receive corresponding video resources and personalized search resources according to their own needs. It is required that the intelligent processing of surveillance video cannot stay in some low-level "intelligent" modes such as automatic displacement...

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Application Information

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