Adaptively adjusted gaussian mixture models for surveillance applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5916 LNCS, Issue , 2009, Pages 689-694

  Huang, Tianci ^a   Fang, Xiangzhong ^a   Qiu, Jingbang ^a   Ikenaga, Takeshi ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADJUSTMENT MECHANISMS; BEST MODEL; COMPLEX ENVIRONMENTS; DATA FUSION METHODS; EXCELLENT PERFORMANCE; GAUSSIAN MIXTURE MODEL; ILLUMINATION CHANGES; MOVING OBJECTS; REPETITIVE MOTIONS; SEGMENTED IMAGES; SURVEILLANCE APPLICATIONS; SURVEILLANCE SYSTEMS;

COMMUNICATION CHANNELS (INFORMATION THEORY); EDGE DETECTION; IMAGE SEGMENTATION; MIXTURES; OBJECT RECOGNITION;

BLIND SOURCE SEPARATION;

EID: 77249112228     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-11301-7_70     Document Type: Conference Paper

References (8)

1. Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: IEEE Intl. Conference on Computer Vision and Pattern Recognition, pp. 246-252 (2007)
2. Stauffer, C., Grimson, W.E.L.: Learning patterns of activity using real-time tracking, vol. 22, pp. 747-757 (2000)
3. Saeid, F., Hamed Moradi, P., Hamed, B.: Multiple object tracking using improved gmm-based motion segmentation. In: Electrical Engineering/Electronics, Computer, Tele-communications and Information Technology International Conference, vol. 2, pp. 1130-1133 (2009)
4. Huwer, S., Niemann, H.: Adaptive change detection for real-time surveillance applications. In: 3rd IEEE Workshop on Visual Surveillance, pp. 37-45 (2000)
5. Zhan, J., Chen, C.: Moving object detection and segmentation in dynamic video backgrounds. In: IEEE conference on computer vision, pp. 64-69 (2007)
6. Brown, L.M., Senior, A.W., Tian, Y., Connell, J., Hampapur, A., Shu, C., Merkl, H., Lu, M.: Performance evaluation of surveillance systems under varying conditions. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (2005)
7. KaewTraKulPong, P., Bowden, R.: An improved adaptive background mixture model for real-time tracking with shadow detection. In: 2nd European Workshop on Advanced Video Based Surveillance Systems, AVBS 2001 (2001)
8. James Black, T.E., Rosin, P.: A novel method for video tracking performance evaluation. In: International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 125-132 (2003)