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Real-time detection method for object left behind

A technology for real-time detection and relics, applied in image data processing, instruments, character and pattern recognition, etc., can solve problems such as poor results

Active Publication Date: 2016-03-16
BEIJING INST OF COMP TECH & APPL +1
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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the existing remnant detection method has poor effect under the condition of all-weather complex light changes, and provide an efficient remnant detection method, which is suitable for the detection of full-HD video surveillance systems under complex light conditions throughout the day. Real-time and accurate detection of remnants

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Embodiment Construction

[0063] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments to further understand the purpose, solution and effect of the present invention, but it is not intended to limit the scope of protection of the appended claims of the present invention.

[0064] The method for real-time detection of remnants based on the full HD video surveillance system under all-weather complex light conditions provided by the present invention, the flow chart of the method is as follows figure 1 As shown, it specifically includes the following steps:

[0065] Step 10: Obtain video image data by frame extraction.

[0066] In this step, one frame is drawn from every 30 frames on the streaming media server to detect the remnants. When the surveillance camera captures images, the image rate is maintained at 25 frames per second or 30 frames per second. After the full HD image is further upgraded, the fr...

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Abstract

The invention discloses a real-time detection method for an object left behind. The method comprises the steps of acquiring video image data; carrying out background modeling of the video image by using a Gaussian mixture model improved algorithm, and establishing a long-period background model and a short-period background model respectively, the background being divided into a stable region and a dynamic region; obtaining a long-period prospect FL by subtracting the long-period background model from a current video frame, and obtaining a short-period prospect FS by subtracting the short-period background model from the current video frame; analyzing the long-period prospect FL and the short-period prospect FS, detecting an object left behind, marking the object left behind and sending out an alarm. The invention adopts the fast Gaussian mixture model improved algorithm for modeling the background which is divided into the stable region and the dynamic region, the detection accuracy of the object left behind is improved, and the execution speed of the algorithm is also increased.

Description

technical field [0001] The invention relates to the application of computer vision technology in an all-weather high-definition video surveillance system, in particular to a method for real-time detection of remnants based on a full-definition video surveillance system under all-weather complex light conditions. Background technique [0002] In the past two years, it has been a period of rapid development of the security industry. Safety issues are a major concern of the whole society. The detection method of remnants is an important measure to prevent danger and ensure safety, especially in the security industry. It plays an important role in high-risk industries, similar to high-risk places such as airports, historical relics, and military control areas. The leftover object detection method is mainly used in these high-risk places. It is to automatically analyze and detect whether there are abandoned or leftover objects in the areas that users are most concerned about. Whe...

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Application Information

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IPC IPC(8): G06K9/00G06T7/00
Inventor 单海婧常青王子亨赵倩张琍周锦源侯祖贵
Owner BEIJING INST OF COMP TECH & APPL
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