Tanaka et al., 2007 - Google Patents
Non-parametric background and shadow modeling for object detectionTanaka et al., 2007
- Document ID
- 15477869526057190257
- Author
- Tanaka T
- Shimada A
- Arita D
- Taniguchi R
- Publication year
- Publication venue
- Asian conference on computer vision
External Links
Snippet
We propose a fast algorithm to estimate background models using Parzen density estimation in non-stationary scenes. Each pixel has a probability density which approximates pixel values observed in a video sequence. It is important to estimate a …
- 238000001514 detection method 0 title description 24
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- 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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- G06K9/4652—Extraction of features or characteristics of the image related to colour
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- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
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- 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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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
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