How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms

Hannah M. Dee; Sergio A. Velastin

doi:10.1007/s00138-007-0077-z

How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms

Hannah M. Dee, Sergio A. Velastin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	329-343
Journal	Machine Vision and Applications
Volume	19
Issue number	5-6
DOIs	https://doi.org/10.1007/s00138-007-0077-z
Publication status	Published - Oct 2008
Externally published	Yes

Bibliographical note

Note: This work was supported by the Engineering and Physical Sciences Research Council.

Keywords

hidden Markov-models
recognition
behavior
framework
patterns
tracking
Computer science and informatics

Access to Document

10.1007/s00138-007-0077-z

http://dx.doi.org/10.1007/s00138-007-0077-z

Cite this

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title = "How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms",

keywords = "hidden Markov-models, recognition, behavior, framework, patterns, tracking, Computer science and informatics",

author = "Dee, \{Hannah M.\} and Velastin, \{Sergio A.\}",

note = "Note: This work was supported by the Engineering and Physical Sciences Research Council.",

year = "2008",

month = oct,

doi = "10.1007/s00138-007-0077-z",

language = "English",

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AU - Dee, Hannah M.

AU - Velastin, Sergio A.

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KW - hidden Markov-models

KW - recognition

KW - behavior

KW - framework

KW - patterns

KW - tracking

KW - Computer science and informatics

U2 - 10.1007/s00138-007-0077-z

DO - 10.1007/s00138-007-0077-z

M3 - Article

SN - 0932-8092

VL - 19

SP - 329

EP - 343

JO - Machine Vision and Applications

JF - Machine Vision and Applications

IS - 5-6

ER -