Small group real-time detection method of intermediate-density scene

A real-time detection and small group technology, applied in image data processing, instruments, character and pattern recognition, etc., to achieve the effect of fast operation speed, high precision and recall rate, and real-time operation

Active Publication Date: 2017-08-04
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

Realize rapid real-time detection and overcome

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  • Small group real-time detection method of intermediate-density scene
  • Small group real-time detection method of intermediate-density scene
  • Small group real-time detection method of intermediate-density scene

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Embodiment Construction

[0018] The specific steps of the real-time detection method for small groups in medium-density scenes are as follows:

[0019] 1. Input video and individual movement track detection data; according to the individual movement track data, the detection coordinate position and movement speed of each individual in each frame can be obtained.

[0020] 2. Establish a target prediction model for each moving individual and calculate the target direction of each moving individual:

[0021] Such as figure 1 A schematic diagram of the target prediction model of the present invention is shown. The origin in the figure represents pedestrians, and the dotted line behind them represents their trajectory. Black solid thick lines simulate obstacles. As can be seen from the figure, the target of pedestrian A is behind the obstacle, and the direction of the target is marked with a dotted arrow. Therefore, A produces an avoiding force to avoid obstacles in the opposite direction, and at the s...

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Abstract

The invention relates to a small group real-time detection method of an intermediate-density scene. The method includes: inputting a video and individual movement track detection data; obtaining a detection coordinate position and a motion speed of each individual in each frame according to the individual movement track data; establishing a target prediction model for each motion individual; calculating a target direction [eta]i of each motion individual; and substituting [eta]i into a correlation filtering algorithm for small group detection to obtain a correlation small group. The method is applicable to various types of intermediate-density dense scenes, the operation speed is fast, real-time operation can be realized, the accuracy and the recall rate in various scenes are high, and the method is an online algorithm so that offline learning is avoided.

Description

technical field [0001] The invention relates to a small group detection technology, in particular to a real-time detection method for a small group in a medium-density scene. Background technique [0002] Dense scene analysis is a research hotspot in the field of computer vision and an important and challenging topic in intelligent video surveillance research. Intensive scenes can be seen everywhere in daily life, such as public gatherings, large supermarkets, shopping malls, public transportation stations, etc. With the development of society, the increase of population and the aggravation of environmental congestion, capturing the dynamic characteristics of dense groups and mining group movement information is not only of scientific research value, but also of great significance to social public security. [0003] Traditional research on dense scenes usually only takes moving individuals as objects for detection, tracking and behavior analysis. In recent years, studies h...

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Application Information

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IPC IPC(8): G06K9/00G06T7/269
CPCG06T2207/30241G06T2207/30196G06V20/53
Inventor 邵洁
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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