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Multi-view monitoring video behavior detection and recognition method under multiple constraints

A monitoring video and multi-view technology, applied in the field of computer vision and pattern recognition, can solve problems such as large target differences and difficulty in human behavior recognition

Inactive Publication Date: 2013-02-27
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the large differences in targets, at the same time, even the behavior of the same target is different, which brings great difficulties to human behavior recognition.

Method used

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  • Multi-view monitoring video behavior detection and recognition method under multiple constraints
  • Multi-view monitoring video behavior detection and recognition method under multiple constraints
  • Multi-view monitoring video behavior detection and recognition method under multiple constraints

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Embodiment 1

[0031] like figure 1 As shown, it is an operation flow chart of the behavior detection and recognition method in multi-view video surveillance under a sparse, structured and discriminative multi-constraint of the present invention, figure 2 It is a schematic diagram of multi-camera layout, and the operation steps of the method include:

[0032] Step 10 Video Preprocessing

[0033] For all image sequences in the multi-view video, noise filtering is performed by median filtering. The comparison of images before and after filtering is as follows: image 3 shown;

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Abstract

The invention discloses a multi-view monitoring video behavior detection and recognition method based on rarefaction, structuralization and judgment under multiple constraints, and the method is used for realizing the intelligent analysis and management of a monitored video. The method comprises the following steps of (1) preprocessing the video; (2) detecting a target; (3) tracking the target; (4) extracting the time and space characteristics; (5) sliding a time window and normalizing the characteristics; (6) detecting and recognizing the behavior in the multi-view monitored video under multiple constraints; and (7) fusing results of two adjacent time windows. The method has the advantages that the intrinsic correlation characteristics of human body behavior characteristics in a multi-view scene can be adequately analyzed, and through the excavation of rarefraction, structuralization and judgment constraints and the compilation of corresponding regular terms, a multi-view human body behavior recognition target function can be established; and meanwhile, the human body target behavior can be recognized through a coordinate descent method.

Description

technical field [0001] The invention belongs to the technical field of computer vision and pattern recognition, and designs a sparse, structured and discriminative multi-constraint behavior detection and recognition method in multi-view surveillance video, which is used to monitor the behavior of human targets in the surveillance video Detection and identification to realize intelligent management of surveillance video. Background technique [0002] Vision-based human action recognition is a very challenging research hotspot in the field of computer vision and pattern recognition, and is highly sought by academia and industry for its potential applications in intelligent monitoring, convenient human-computer interaction, digital entertainment, etc. Closely. Most of the early human action recognition was carried out in a specific experimental environment that could be controlled by humans, that is, by fixing or controlling external factors such as illumination, viewing angle...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04N7/18
Inventor 高赞张桦刘安安徐光平薛彦兵董晨
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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