Activity and Motion Detection Based on Measuring Texture Change

Activity and Motion Detection Based on Measuring Texture Change

We estimate the speed of texture change by measuring the spread of texture vectors in their feature space. This method allows us to robustly detect even very slow moving objects. By learning a normal amount of texture change over time, we are also able to detect increased activities in videos. We il...

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Bibliographische Detailangaben
Hauptverfasser: Latecki, Longin Jan, Miezianko, Roland, Pokrajac, Dragoljub
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Background Texture
Computer science
control theory
systems
Data processing. List processing. Character string processing
Exact sciences and technology
Gaussian Mixture Model
Learning and adaptive systems
Memory organisation. Data processing
Motion Detection
Motion Detection Algorithm
Principal Component Analysis Component
Software
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Beschreibung
Zusammenfassung:We estimate the speed of texture change by measuring the spread of texture vectors in their feature space. This method allows us to robustly detect even very slow moving objects. By learning a normal amount of texture change over time, we are also able to detect increased activities in videos. We illustrate the performance of the proposed techniques on videos from PETS repository and the Temple University Police department.
ISSN:0302-9743
1611-3349
DOI:10.1007/11510888_47