Background modeling and its evaluation for complex scenes
Gespeichert in:
Verfasser / Beitragende:
[Li Sun, Wenjuan Sheng, Yiqing Liu]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/11(2015-06-01), 3947-3966
Format:
Artikel (online)
Online Zugang:
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 60544756X | ||
| 003 | CHVBK | ||
| 005 | 20210128100132.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150601xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-013-1806-0 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-013-1806-0 | ||
| 245 | 0 | 0 | |a Background modeling and its evaluation for complex scenes |h [Elektronische Daten] |c [Li Sun, Wenjuan Sheng, Yiqing Liu] |
| 520 | 3 | |a We present a new approach for modeling background in complex scenes that contain unpredicted motions caused e.g. by wind over water surface, in tree branches, or over the grass. The background model of each pixel is defined based on the observation of its spatial neighborhood in a recent history, and includes up to K ≥ 1 $K \ge 1$ modes, which defines the frequently appeared patterns at the given pixel position in the color space, ranked in decreasing order of occurrence frequency. Foreground regions can then be detected by comparing the intensity of an observed pixel to the high frequency modes of its background model. Experiments show that our spatial-temporal background model is superior to traditional related algorithms in cases for which a pixel encounters modes that are frequent in the spatial neighborhood without being frequent enough in the actual pixel position. As an additional contribution, our paper also proposes an original assessment method, which has the advantage of avoiding the use of costly handmade ground truth sequences of foreground objects silhouettes. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Background subtraction |2 nationallicence | |
| 690 | 7 | |a Background modeling |2 nationallicence | |
| 690 | 7 | |a Multiple modes |2 nationallicence | |
| 700 | 1 | |a Sun |D Li |u School of Information Science and Technology, East China Normal University, 200241, Shanghai, China |4 aut | |
| 700 | 1 | |a Sheng |D Wenjuan |u School of Automation Engineering, Shanghai University of Electric Power, 200090, Shanghai, China |4 aut | |
| 700 | 1 | |a Liu |D Yiqing |u School of Information Science and Technology, East China Normal University, 200241, Shanghai, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/11(2015-06-01), 3947-3966 |x 1380-7501 |q 74:11<3947 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-013-1806-0 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-013-1806-0 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Li |u School of Information Science and Technology, East China Normal University, 200241, Shanghai, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sheng |D Wenjuan |u School of Automation Engineering, Shanghai University of Electric Power, 200090, Shanghai, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Liu |D Yiqing |u School of Information Science and Technology, East China Normal University, 200241, Shanghai, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/11(2015-06-01), 3947-3966 |x 1380-7501 |q 74:11<3947 |1 2015 |2 74 |o 11042 | ||