메뉴 건너뛰기




Volumn 23, Issue 1, 2013, Pages 1-14

Efficient moving object detection for lightweight applications on smart cameras

Author keywords

Lightweight applications; moving object detection; nonparametric segmentation; particle filter based tracking; real time; smart cameras

Indexed keywords

FILTER-BASED; LIGHTWEIGHT APPLICATION; MOVING-OBJECT DETECTION; NON-PARAMETRIC SEGMENTATIONS; REAL TIME; SMART CAMERAS;

EID: 84872336127     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2012.2202191     Document Type: Article
Times cited : (34)

References (35)
  • 1
    • 77958510391 scopus 로고    scopus 로고
    • 2010 gadget census
    • K. Sangani, "2010 gadget census," Eng. Technol., vol. 5, no. 14, pp. 28-29, 2010.
    • (2010) Eng. Technol , vol.5 , Issue.14 , pp. 28-29
    • Sangani, K.1
  • 3
    • 50549103081 scopus 로고    scopus 로고
    • A unified framework for consistent 2-d/3-d foreground object detection
    • Aug
    • J. L. Landabaso and M. Pardas, "A unified framework for consistent 2-d/3-d foreground object detection," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 8, pp. 1040-1051, Aug. 2008.
    • (2008) IEEE Trans. Circuits Syst. Video Technol , vol.18 , Issue.8 , pp. 1040-1051
    • Landabaso, J.L.1    Pardas, M.2
  • 4
    • 55249110878 scopus 로고    scopus 로고
    • Moving object detection in spatial domain using background removal techniques: Stateof-art
    • S. Y. Elhabian, K. M. El-Sayed, and S. H. Ahmed, "Moving object detection in spatial domain using background removal techniques: Stateof-art," Recent Patents Comput. Sci., vol. 1, no. 1, pp. 32-54, 2008.
    • (2008) Recent Patents Comput. Sci , vol.1 , Issue.1 , pp. 32-54
    • Elhabian, S.Y.1    El-Sayed, K.M.2    Ahmed, S.H.3
  • 5
    • 70449580219 scopus 로고    scopus 로고
    • Background modeling using mixture of Gaussians for foreground detection: A survey
    • T. Bouwmans, F. E. Baf, and B. Vachon, "Background modeling using mixture of Gaussians for foreground detection: A survey," Recent Patents Comput. Sci., vol. 1, no. 3, pp. 219-237, 2008.
    • (2008) Recent Patents Comput. Sci , vol.1 , Issue.3 , pp. 219-237
    • Bouwmans, T.1    Baf, F.E.2    Vachon, B.3
  • 8
    • 0035691520 scopus 로고    scopus 로고
    • Efficient non-parametric adaptive color modeling using fast Gauss transform
    • Dec
    • A. Elgammal, R. Duraiswami, and L. S. Davis, "Efficient non-parametric adaptive color modeling using fast Gauss transform," in Proc. IEEE Conf. Comput. Vision Patt. Recog., vol. 2. Dec. 2001, pp. 563-571.
    • (2001) Proc IEEE Conf. Comput. Vision Patt. Recog , vol.2 , pp. 563-571
    • Elgammal, A.1    Duraiswami, R.2    Davis, L.S.3
  • 9
    • 0034244906 scopus 로고    scopus 로고
    • Detecting salient motion by accumulating directionallyconsistent flow
    • Aug
    • L. Wixton, "Detecting salient motion by accumulating directionallyconsistent flow," IEEE Trans. Patt. Anal. Mach. Intell., vol. 22, no. 8, pp. 774-780, Aug. 2000.
    • (2000) IEEE Trans. Patt. Anal. Mach. Intell , vol.22 , Issue.8 , pp. 774-780
    • Wixton, L.1
  • 12
    • 7444243389 scopus 로고    scopus 로고
    • Statistical modeling of complex backgrounds for foreground object detection
    • Nov
    • L. Li, W. Huang, I. Y. H. Gu, and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE Trans. Image Process., vol. 13, no. 11, pp. 1459-1472, Nov. 2004.
    • (2004) IEEE Trans. Image Process , vol.13 , Issue.11 , pp. 1459-1472
    • Li, L.1    Huang, W.2    Gu, I.Y.H.3    Tian, Q.4
  • 13
    • 69949105468 scopus 로고    scopus 로고
    • Nonparametric statistical background modeling for efficient foreground region detection
    • A. Tavakkoli, M. Nicolescu, G. Bebis, and M. Nicolescu, "Nonparametric statistical background modeling for efficient foreground region detection," Mach. Vision Applicat., vol. 20, no. 6, pp. 395-409, 2009.
    • (2009) Mach. Vision Applicat , vol.20 , Issue.6 , pp. 395-409
    • Tavakkoli, A.1    Nicolescu, M.2    Bebis, G.3    Nicolescu, M.4
  • 15
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • Aug
    • C. Stauffer and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Patt. Anal. Mach. Intell., vol. 22, no. 8, pp. 747-757, Aug. 2000.
    • (2000) IEEE Trans. Patt. Anal. Mach. Intell , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.L.2
  • 16
    • 78249277921 scopus 로고    scopus 로고
    • Background subtraction for automated multisensor surveillance: A comprehensive review
    • 2010
    • M. Cristani, M. Farenzena, D. Bloisi, and V. Murino, "Background subtraction for automated multisensor surveillance: A comprehensive review," EURASIP J. Adv. Signal Process., vol. 2010, no. 43, pp. 43-66, 2010.
    • (2010) EURASIP J. Adv. Signal Process , vol.43 , pp. 43-66
    • Cristani, M.1    Farenzena, M.2    Bloisi, D.3    Murino, V.4
  • 17
    • 33644785860 scopus 로고    scopus 로고
    • Unsupervised scene analysis: A hidden Markov model approach
    • DOI 10.1016/j.cviu.2005.09.001, PII S1077314205001323
    • M. Bicego, M. Cristani, and V. Murino, "Unsupervised scene analysis: A hidden Markov model approach," Comput. Vision Image Understand., vol. 102, no. 1, pp. 22-41, 2006. (Pubitemid 43344448)
    • (2006) Computer Vision and Image Understanding , vol.102 , Issue.1 , pp. 22-41
    • Bicego, M.1    Cristani, M.2    Murino, V.3
  • 18
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • Jul
    • A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, Jul. 2002.
    • (2002) Proc. IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 19
    • 84859087147 scopus 로고    scopus 로고
    • Towards robust object detection: Integrated background modeling based on spatio-temporal features
    • T. Tanaka, A. Shimada, R. Taniguchi, T. Yamashita, and D. Arita, "Towards robust object detection: Integrated background modeling based on spatio-temporal features," Comput. Vision Image Understand., vol. 113, no. 1, pp. 63-79, 2009.
    • (2009) Comput. Vision Image Understand , vol.113 , Issue.1 , pp. 63-79
    • Tanaka, T.1    Shimada, A.2    Taniguchi, R.3    Yamashita, T.4    Arita, D.5
  • 20
  • 21
    • 52149098362 scopus 로고    scopus 로고
    • Background subtraction based on adaptive nonparametric model
    • Jun
    • Q. Wan and Y. Wang, "Background subtraction based on adaptive nonparametric model," in Proc. Intell. Contr. Automat., Jun. 2008, pp. 5960-5965.
    • (2008) Proc. Intell. Contr. Automat , pp. 5960-5965
    • Wan, Q.1    Wang, Y.2
  • 22
    • 28044439637 scopus 로고    scopus 로고
    • Bayesian modeling of dynamic scenes for object detection
    • DOI 10.1109/TPAMI.2005.213
    • Y. Sheikh and M. Shah, "Bayesian modeling of dynamic scenes for object detection," IEEE Trans. Patt. Anal. Mach. Intell., vol. 27, no. 11, pp. 1778-1792, Nov. 2005. (Pubitemid 41685113)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.11 , pp. 1778-1792
    • Sheikh, Y.1    Shah, M.2
  • 23
    • 77950485823 scopus 로고    scopus 로고
    • Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity
    • N. Martel-Brison and A. Zaccarin, "Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity," in Proc. ACM Vision Netw. Behavior Anal., 2008, pp. 93-100.
    • (2008) Proc ACM Vision Netw. Behavior Anal , pp. 93-100
    • Martel-Brison, N.1    Zaccarin, A.2
  • 24
    • 46649105522 scopus 로고    scopus 로고
    • Foreground segmentation based on selective foreground model
    • X. Zhang and J. Yang, "Foreground segmentation based on selective foreground model," Electron. Lett., vol. 44, no. 14, pp. 851-852, 2008.
    • (2008) Electron. Lett , vol.44 , Issue.14 , pp. 851-852
    • Zhang, X.1    Yang, J.2
  • 25
    • 5044221727 scopus 로고    scopus 로고
    • Motion-based background subtraction using adaptive kernel density estimation
    • Jul
    • A. Mittal and N. Paragios, "Motion-based background subtraction using adaptive kernel density estimation," in Proc. IEEE Comput. Soc. Conf. Comput. Vision Patt. Recog., vol. 2, no. 2. Jul. 2004, pp. 302-309.
    • (2004) Proc. IEEE Comput. Soc. Conf. Comput. Vision Patt. Recog , vol.2 , Issue.2 , pp. 302-309
    • Mittal, A.1    Paragios, N.2
  • 26
    • 84964316524 scopus 로고    scopus 로고
    • A hierarchical approach to robust background subtraction using color and gradient information
    • Dec
    • O. Javed, K. Shafique, and M. Shah, "A hierarchical approach to robust background subtraction using color and gradient information," in Proc. IEEE Workshop Motion Video Comput., Dec. 2002, pp. 22-27.
    • (2002) Proc IEEE Workshop Motion Video Comput. , pp. 22-27
    • Javed, O.1    Shafique, K.2    Shah, M.3
  • 27
    • 77953860245 scopus 로고    scopus 로고
    • High-quality real-time moving object detection by non-parametric segmentation
    • C. Cuevas, R. Mohedano, F. Jaureguizar, and N. García, "High-quality real-time moving object detection by non-parametric segmentation," Electron. Lett., vol. 46, no. 13, pp. 910-911, 2010.
    • (2010) Electron. Lett , vol.46 , Issue.13 , pp. 910-911
    • Cuevas, C.1    Mohedano, R.2    Jaureguizar, F.3    García, N.4
  • 30
    • 84872282500 scopus 로고    scopus 로고
    • Grupo de Tratamiento de Iḿagenes Universidad Polit́ecnica de Madrid [Online]. Available
    • Grupo de Tratamiento de Iḿagenes, Universidad Polit́ecnica de Madrid. (2011). Lab Database [Online]. Available: http://www.gti.ssr.upm.es/ data
    • (2011) Lab Database
  • 31
  • 32
    • 41149156377 scopus 로고    scopus 로고
    • A new strategy based on adaptive mixture of Gaussians for real-time moving objects segmentation
    • Jan
    • C. Cuevas, N. García, and L. Salgado, "A new strategy based on adaptive mixture of Gaussians for real-time moving objects segmentation," SPIE Real-Time Image Process., vol. 6811, pp. 1-12, Jan. 2008.
    • (2008) SPIE Real-Time Image Process , vol.6811 , pp. 1-12
    • Cuevas, C.1    García, N.2    Salgado, L.3
  • 33
    • 12844249589 scopus 로고    scopus 로고
    • Learning to detect objects in images via a sparse, part-based representation
    • DOI 10.1109/TPAMI.2004.108
    • S. Agarwal, A. Awan, and D. Roth, "Learning to detect objects in images via a sparse, part-based representation," IEEE Trans. Patt. Anal. Mach. Intell., vol. 26, no. 11, pp. 1475-1490, Nov. 2004. (Pubitemid 40168024)
    • (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.26 , Issue.11 , pp. 1475-1490
    • Agarwal, S.1    Awan, A.2    Roth, D.3
  • 34
    • 77951964766 scopus 로고    scopus 로고
    • Measurement-based reclustering for multiple object tracking with particle filters
    • Nov
    • M. Nieto, C. Cuevas, and L. Salgado, "Measurement-based reclustering for multiple object tracking with particle filters," in Proc. IEEE Int. Conf. Image Process., Nov. 2009, pp. 4097-4100.
    • (2009) Proc IEEE Int. Conf. Image Process. , pp. 4097-4100
    • Nieto, M.1    Cuevas, C.2    Salgado, L.3
  • 35
    • 68249130415 scopus 로고    scopus 로고
    • On the optimality of motion-based particle filtering
    • Jul
    • N. Bouaynara and D. Schonfeld, "On the optimality of motion-based particle filtering," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 7, pp. 1068-1072, Jul. 2009.
    • (2009) IEEE Trans. Circuits Syst. Video Technol , vol.19 , Issue.7 , pp. 1068-1072
    • Bouaynara, N.1    Schonfeld, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.