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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However, due to the large differences in targets, at the same time, even the behavior of t
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[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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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...
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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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