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Volumn , Issue , 2008, Pages 329-334

Real-time object detection and background maintenance for uncontrolled environments

Author keywords

Background modeling; Bootstrapping; Codebook; Motion detection

Indexed keywords

AUTOMATED VIDEOS; BACKGROUND MAINTENANCES; BACKGROUND MODELING; BACKGROUND SUBTRACTIONS; BOOTSTRAPPING; CODEBOOK; CODEBOOK MODELS; DETECTION ACCURACIES; DYNAMIC BACKGROUNDS; FALSE DETECTIONS; MOTION DETECTION; NON-PARAMETRIC; OBJECT DETECTIONS; PROCESSING TIME; REAL-TIME DETECTIONS;

EID: 62949228450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 1
    • 21644463503 scopus 로고    scopus 로고
    • Real-time foreground - background segmentation using codebook model
    • K. Kim et al, Real-time foreground - background segmentation using codebook model, Real-time Imaging, 11(3), 2005, 172-185.
    • (2005) Real-time Imaging , vol.11 , Issue.3 , pp. 172-185
    • Kim, K.1
  • 3
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • A. Elgammal et al, Background and foreground modeling using nonparametric kernel density estimation for visual surveillance, Proceedings of the IEEE, 90(7), 2002, 1151-1163.
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1
  • 4
    • 13344292020 scopus 로고    scopus 로고
    • Human body tracking by adaptive background models and mean-shift analysis
    • Graz, Austria
    • F. Porikli and O. Tuzel, Human body tracking by adaptive background models and mean-shift analysis, IEEE Int. Workshop on PETS, Graz, Austria, 2003, 37-45.
    • (2003) IEEE Int. Workshop on PETS , pp. 37-45
    • Porikli, F.1    Tuzel, O.2
  • 5
    • 33847294710 scopus 로고    scopus 로고
    • An adaptive mixture Gaussian background model with online background reconstruction and adjustable foreground mergence time for motion segmentation
    • Hong Kong
    • Y Zhang et al, An adaptive mixture Gaussian background model with online background reconstruction and adjustable foreground mergence time for motion segmentation, IEEE conf. on Industrial Technology, Hong Kong, 2005, 23-27.
    • (2005) IEEE conf. on Industrial Technology , pp. 23-27
    • Zhang, Y.1
  • 7
    • 0032653666 scopus 로고    scopus 로고
    • Detecting and tracking moving objects for video surveillance
    • Fort Collins, CA
    • G. Medioni, Detecting and tracking moving objects for video surveillance, IEEE conf. on Computer Vision and Pattern Recognition, Fort Collins, CA, 1999, 319-325.
    • (1999) IEEE conf. on Computer Vision and Pattern Recognition , pp. 319-325
    • Medioni, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.