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Volumn , Issue , 2010, Pages 270-272

Moving object detection based on running average background and temporal difference

Author keywords

Gaussian mixtrue model; Moving object detection; Running average; Temporal difference

Indexed keywords

AVERAGE METHOD; BACKGROUND IMAGE; BACKGROUND MODELING; BACKGROUND SUBTRACTION; COMBINED IMAGES; COMMON INFORMATION; COMPLEX BACKGROUND; DIFFERENCE IMAGES; FOREGROUND IMAGES; GAUSSIAN MIXTRUE MODEL; GAUSSIAN MIXTURES; MOVING OBJECT DETECTION; MOVING OBJECTS; RUNNING AVERAGE; TEMPORAL DIFFERENCE; TEMPORAL DIFFERENCES; VIDEO SEQUENCES;

EID: 79551511461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISKE.2010.5680866     Document Type: Conference Paper
Times cited : (58)

References (10)
  • 5
    • 84906343612 scopus 로고    scopus 로고
    • A real-time system for monitoring of cyclists and pedestrians
    • IEEE Int. Workshop Visual Surveillance, Fort Collins, CO
    • J. Heikkila, O. Silven, "A Real-Time System for Monitoring of Cyclists and Pedestrians," in Proc. 2nd IEEE Int. Workshop Visual Surveillance, Fort Collins, CO, 1999.
    • (1999) Proc. 2nd
    • Heikkila, J.1    Silven, O.2
  • 6
    • 10444238335 scopus 로고    scopus 로고
    • Understanding background mixture models for foregrounds segmentation
    • New Zealand: Auckland
    • P. PW, S. JA, "Understanding Background Mixture Models for Foregrounds Segmentation," Proceedings of Image and Vision Computing. New Zealand: Auckland, 2002: 267-271.
    • (2002) Proceedings of Image and Vision Computing , pp. 267-271
    • Pw, P.1    Ja, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.