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Volumn , Issue , 2006, Pages 52-56
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Detecting the degree of anomaly in security videos by using a spatio-temporal feature of change
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NTT CORPORATION
(Japan)
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Author keywords
1 class SVM; Security video; Surveillance
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Indexed keywords
CAMERAS;
COMPUTER SYSTEMS;
DIGITAL IMAGE STORAGE;
FEATURE EXTRACTION;
IMAGE PROCESSING;
IMAGING SYSTEMS;
INTERNET PROTOCOLS;
MULTIMEDIA SYSTEMS;
SUPPORT VECTOR MACHINES;
1-CLASS SVM;
CAMERA SETTINGS;
IMAGE SEQUENCES;
LEARNING METHODS;
REAL ENVIRONMENTS;
SECURITY CAMERAS;
SECURITY VIDEO;
SPATIO TEMPORALS;
SURVEILLANCE;
SECURITY SYSTEMS;
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EID: 56649106516
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (1)
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References (7)
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