Fast object recognition algorithm

An object recognition and algorithm technology, applied in character and pattern recognition, computing, computer parts and other directions, can solve the problems of incomplete extraction of feature pixels, void phenomenon, failure, etc., achieve good segmentation and tracking effects, and improve tracking performance, good effect

Inactive Publication Date: 2011-10-19
SUZHOU YISIKANG INFORMATION TECH
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AI Technical Summary

Problems solved by technology

The time difference motion detection method has strong adaptability to the dynamic environment, but generally cannot fully extract all the relevant feature pixels, and it is easy to generate holes inside the moving entity, and can only detect the edge of the target
Moreover, when the moving target stops moving, the general time difference method will fail

Method used

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Embodiment Construction

[0068] The invention provides an intelligent video object tracking algorithm with high robustness and good segmentation and tracking effects, which can segment moving objects in real time on an embedded system by analyzing the temporal domain and spatial domain relationship and difference of video sequence frames. This method has been successfully applied in smartphones. In addition, the present invention can also be used in intelligent monitoring of dynamic backgrounds. This method has strong anti-interference ability, can accurately eliminate indoor lighting mutations, and can also filter common outdoor environments such as swinging leaves, interference from flying objects in the air, rain, snow, fog, and sudden changes in weather. Common false alarm situations in the industry.

[0069] The realization of the present invention is divided into several interrelated parts, which are gradually advanced and mutually restricted. Correct implementation can provide negative feedbac...

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Abstract

The invention relates to a fast object recognition algorithm comprising the following steps of: firstly, carrying out median filtering on approximately one second sequence frame in time domain so as to be taken as a static background; secondly, determining a moving object by utilizing the fusion algorithm of background subtraction and interframe difference; thirdly, carrying out binaryzation on the obtained result by utilizing maximum variance threshold segmentation, and simultaneously analyzing the effectiveness of the segmentation; and finally, merging the results of the effective segmentation, and tracking by utilizing Kalman filtering. The intelligent video object-tracking method has good tracking effect and high robustness, dispenses with manual intervention and effectively avoids the phenomena of tracking and alarming by mistake.

Description

technical field [0001] The invention relates to a video object tracking method, in particular to a fast object recognition algorithm, and belongs to the technical field of computer graphics and imaging. Background technique [0002] Intelligent video analysis is the introduction of computer vision methods into video surveillance. This technology includes automatic detection of moving targets, target tracking, target classification, and behavioral understanding from video image sequences. The purpose is to establish a mapping relationship between images and image descriptions, so that computers can analyze and understand videos. content on the screen. The intelligent video technology mentioned in video surveillance mainly refers to automatic analysis and extraction of key information in video sources. If the camera is regarded as the human eye, the intelligent video system or equipment can be regarded as the human brain. With the help of the powerful data processing functi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54G06T7/20
Inventor 江振荣黄波士袁淑娟
Owner SUZHOU YISIKANG INFORMATION TECH
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