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Owens et al., 2000 - Google Patents

Application of the self-organising map to trajectory classification

Owens et al., 2000

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Document ID
15409389740103770669
Author
Owens J
Hunter A
Publication year
Publication venue
Proceedings Third IEEE International Workshop on Visual Surveillance

External Links

Snippet

This paper presents an approach to the problem of automatically classifying events detected by video surveillance systems; specifically, of detecting unusual or suspicious movements. Approaches to this problem typically involve building complex 3D-models in real-world …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G06K9/00778Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
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    • G06K9/6288Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
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    • G08B13/196Actuation by interference with heat, light or radiation of shorter wavelength; Actuation by intruding sources of heat, light or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction

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