Robust Motion Detection in Real-Life Scenarios

Author/creator Martínez-Martín, Ester Author
Other author Pobil,ngel P. del Author
Format Electronic
Publication InfoNew York : Springer
Descriptionxii, 108 p. ill 23.500 x 015.500 cm.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2012 English International
Subjects

SeriesSpringerBriefs in Computer Science Ser.
Summary Annotation This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9781447142157
ISBN1447142152 (Trade Paper) Active Record
Standard identifier# 9781447142157
Stock number9781447142157 00024965

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