Yang et al., 2011 - Google Patents
A multi-histogram clustering approach toward Markov random field for foreground segmentationYang et al., 2011
View PDF- Document ID
- 4591313947918881273
- Author
- Yang W
- Dou L
- Zhan J
- Publication year
- Publication venue
- International Journal of Image and Graphics
External Links
Snippet
This paper presents a Bayesian approach for foreground segmentation in monocular image sequences. To overcome the limitations of background modeling in dealing with pixel-wise processing, spatial coherence and temporal persistency are formulated with background …
- 230000011218 segmentation 0 title abstract description 51
Classifications
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
- G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06T2207/20112—Image segmentation details
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