Video monitoring abnormal behavior detection method and detections system thereof
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A technology of video monitoring and detection methods, applied in image data processing, instruments, character and pattern recognition, etc., can solve problems such as false alarms, single discrimination standards, and difficult tracking, and achieve the effect of increasing accuracy and refining classification
Active Publication Date: 2015-12-23
SHANDONG HUAYU AEROSPACE TECH CO LTD
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However, in the method proposed in this paper, when obtaining the foreground pixels, only the background difference division method is used, and the continuously changing pixels are considered to be the foreground, and the continuous static pixels are the background. This criterion is too simple. For Complex backgrounds and changing scenes are likely to cause adverse consequences such as false alarms, missed alarms, and difficulty in tracking
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Embodiment 1
[0025] Embodiment 1. A method for detecting abnormal behavior in video surveillance. The following combination figure 2 and figure 2 The method provided in this embodiment will be described in detail.
[0026] see figure 1 , S1. Acquire a video image sequence, and establish a background model by using a Gaussian mixture model according to the acquired video image sequence.
[0027] Specifically, first, the video surveillance equipment will collect video surveillance image data for a period of time, and transmit the collected video surveillance image data to the video processing device after compression and encoding, and the video processing equipment receives the compressed and encoded video surveillance image data After that, it is decoded, the compressed data encoding file is converted into an analog video surveillance image data file, and the video surveillance image is processed into a video image sequence, and the video image sequence is preprocessed, including conve...
Embodiment 2
[0069] Embodiment 2, a video surveillance abnormal behavior detection system. The following combination image 3 The system provided in this embodiment will be described in detail.
[0070] see image 3 The video surveillance abnormal behavior detection system provided in this embodiment includes a video image preprocessing module 302, a background model building module 302, a foreground area extraction module 303, a division module 304, a motion label calculation module 305, a feature extraction module 306, and a judgment module 307 , a category judging module 308 and an output module 309.
[0071] Wherein, the video image preprocessing 301 is mainly used to process the acquired video surveillance image into a video image sequence, and perform preprocessing on the video image sequence, and the preprocessing includes converting the color video image sequence into a grayscale video image sequences, as well as histogram equalization, median filtering, and gamma correction on ...
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Abstract
The invention discloses a video monitoring abnormal behavior detection method and a detections system thereof. The method comprises the following steps: obtaining a video image sequence, and establishing a background model by use of a hybrid Gauss model; according to the established background model, extracting a foreground object area image from the video image sequence by use of a background subtraction method, and dividing the foreground object area image into a plurality of foreground object image blocks; calculating a motion label of each foreground object image block by use of the background subtraction method, and extracting a five-dimensional characteristic parameter of each foreground object image block; determining whether a current foreground object image block is a normal behavior image block by use of an offline SVM classifier, and if the current foreground object image block is a normal behavior image block, ending the process; and if the current foreground object image block is an abnormal behavior image block, determining an abnormal behavior type which the abnormal behavior image block belongs to. Through the method provided by the invention, background modeling is carried out by use of the hybrid Gauss model, a foreground area and a background area can be accurately segmented, and abnormal behaviors in video monitoring images can be accurately detected.
Description
technical field [0001] The invention relates to the technical field of abnormal behavior detection, in particular to a video monitoring abnormal behavior detection method and a detection system thereof. Background technique [0002] The purpose of video surveillance is to detect and analyze abnormal events or the behavior of monitored objects in the surveillance scene. At present, more mature video abnormal behavior detection includes behaviors such as crossing the border, invading restricted areas, wandering, staying, and fast movement. There are usually two types of implementation methods for abnormal behavior detection: (1) behaviors with small probability or contrary to prior rules are regarded as abnormal behaviors; (2) behaviors that do not match the patterns of known normal behaviors are regarded as abnormal behaviors . [0003] In recent years, the top international journal IEEEET-PAMI and the top international conferences on computer vision and pattern recognition...
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