High-quality real-time moving object detection by non-parametric segmentation

Electronics Letters

Volumn 46, Issue 13, 2010, Pages 910-911

  Cuevas, C ^a   Mohedano, R ^a   Jaureguizar, F ^a   Garcia N ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL REQUIREMENTS; HIGH QUALITY; MOVING-OBJECT DETECTION; NON-PARAMETRIC; REAL TIME PERFORMANCE; SEGMENTATION RESULTS; SPATIAL INFORMATIONS; TRACKING ALGORITHM;

COMPUTATIONAL EFFICIENCY; IMAGE SEGMENTATION; OBJECT RECOGNITION;

TRACKING (POSITION);

EID: 77953860245     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2010.0495     Document Type: Article

References (5)

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2. Sheikh, Y., and Shah, M.: ' Bayesian modeling of dynamic scenes for object detection ', IEEE Trans. Pattern Anal. Appl., 2005, 27, (11), p. 1778-1792 (Pubitemid 41685113)
3. Zhang, X., and Yang, J.: ' Foreground segmentation based on selective foreground model ', Electron. Lett., 2008, 44, (14), p. 851 0013-5194
4. Martel-Brison, N., and Zaccarin, A.: ' Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity ', ACM Workshop on Vision Networks for Behaviour Analysis, 2008
5. Comaniciu, D., Ramesh, V., and Meer, P.: ' Kernel-based object tracking ', IEEE Trans. Pattern Anal. Mach. Intell., 2003, 25, (5), p. 564-577 10.1109/TPAMI.2003.1195991 0162-8828