Smirg et al., 2012 - Google Patents
Real-time detection of human body in videosSmirg et al., 2012
- Document ID
- 8346496142162830585
- Author
- Smirg O
- Smekal Z
- Publication year
- Publication venue
- 2012 35th International Conference on Telecommunications and Signal Processing (TSP)
External Links
Snippet
The paper describes a new method of detecting human figures in the video scene in real time. This problem can be found, for example, in the protection of buildings where unauthorized persons have access, surveillance of persons in common areas such as …
- 238000001514 detection method 0 title abstract description 27
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00228—Detection; Localisation; Normalisation
- G06K9/00234—Detection; Localisation; Normalisation using pixel segmentation or colour matching
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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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
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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- G06K9/00248—Detection; Localisation; Normalisation using facial parts and geometric relationships
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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
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
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- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
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