Robust motion detection in real-life scenarios
Ester Martinez-Martin, Angel P. del Pobil (Springer, 2012)
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| 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. |
 Robust Motion Detection in Real-Life Scenarios.pdf :: Unduh
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| No. Panggil : | e20407712 |
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| Penerbitan : | London: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-1-4471-4216-4 |
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| No. Panggil | No. Barkod | Ketersediaan |
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| e20407712 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20407712 |
