Method for retrieving object in video based on color information

A technology in color information and video, applied in the field of image processing, to achieve the effect of ensuring reliability

Active Publication Date: 2015-12-09
北京中科神探科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The most typical model describing the target appearance is mainly designed from two aspects of color and texture features (for example, references: GeversT., SmeuldersA.W.M., ColorBasedObjectRecognition, PatternRecognition, 1999 (03), CaiY, PieetikainenM., PersonRe-identificationByGraphKernelsMethods, PatternRecognition, 2011(285-294), BaumlM., StiefelhagenR., Evaluation of Local Features for Person Re-identification in Image Sequences, IEEE Computer Society, 2011(291-296)), but existing methods are often only effective when the target appearance changes are not significant; on the other hand, Efficient retrieval system research is mainly carried out from the creation method of feature index, mainly including the structure of index file itself (such as MathisL., SavvasA.Chatzichristofis, Lire:LuceneImageRetrieval-AnExtensibleJavaCBIRLibrary) and the similarity of feature space (KasturiC., Shu-ChingC .,AffinityHybridTree:AnIndexingTechniqueforContent-BasedImageRetrievalinMultimediaDatabases,InternationalJournalofSemanticComputing,2007(Vol.1,Issue02)) two aspects

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  • Method for retrieving object in video based on color information
  • Method for retrieving object in video based on color information

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Embodiment approach

[0026] According to one embodiment of the present invention, step S2 includes:

[0027] S21, calculating the color similarity between the HSV color space histogram feature of the motion candidate object in the current frame and the motion candidate object in the previous frame;

[0028] S22, using the Kalman filter method to predict the position of the moving candidate in the current frame according to the positions of the moving candidate in the first two frames, and calculate the Euclidean distance between the predicted position and the actual position of the moving candidate as distance similarity;

[0029] S23, according to the color similarity and distance similarity, use the Hungarian algorithm to match all the motion candidate objects in the current frame with the trajectories of all motion candidate objects in the previous frame to obtain the optimal matching result, and according to the optimal matching result Updating the track of the moving candidate target.

[003...

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Abstract

The invention discloses a method for retrieving an object in a video based on color information. With respect to a monitoring video under complex scenes, candidate moving objects in the original video are extracted by virtue of video content analysis, and then are differentiated in a multi-object tracking manner; a color feature is extracted from every confirmed moving object to establish an index, and the similarity of an input image feature and a feature vector in the index is calculated and an object retrieval result is obtained according to a similarity sorting method. The method is convenient for a user to quickly find out an interested object from a long-time monitoring video; as a result, the time taken by the user in watching the monitoring video is saved and the utilization rate of the monitoring video is increased.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for object retrieval in video based on color information. Background technique [0002] In modern society, video surveillance systems play an important role in all walks of life, and play an important role in maintaining social order, strengthening social management and security; but with the rapid growth of the number of cameras, from these massive Finding the target of interest in the surveillance video will consume a lot of manpower and material resources. According to the statistics of ReportLinker, in 2011, there were more than 165 million surveillance cameras in the world, generating 1.4 trillion hours of surveillance data. If 20% of the important surveillance video data needs to be watched manually, more than 100 million laborers need to be employed (8 hours a day, 300 days a year). Therefore, automatically extracting objects that appear in a large numb...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06F17/30
Inventor 袁飞唐矗
Owner 北京中科神探科技有限公司
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