Temporal multi-modal mean

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn , Issue , 2012, Pages 73-76

  Azmat, Shoaib ^a   Wills, Linda ^a   Wills, Scott ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

background modeling; Multimodal mean; scene analysis; temporal reasoning

Indexed keywords

BACKGROUND MODELING; FOREGROUND/BACKGROUND SEGMENTATION; LONG LASTING; MULTI-MODAL; REAL-TIME PLATFORM; SCENE ANALYSIS; SCENE OBJECT; TEMPORAL INFORMATION; TEMPORAL MODELS; TEMPORAL REASONING;

MODELS;

IMAGE ANALYSIS;

EID: 84862848100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSIAI.2012.6202456     Document Type: Conference Paper

References (16)

1. Apewokin et al., "Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling", Embedded Computer Vision, B. Kisacanin, S. Bhattacharyya, S. Chai(eds.), Springer, 163-175, 2009.
2. L. Villa, "A survey of temporal reasoning in artificial intelligence", AI communications journal, vol. 7, 04-28, 1994.
3. H. Buxton, N. Walker, "Query based analysis: spatio-temporal reasoning in computer vision", Image and vision computing, Elsevier, vol.6(4), 247-254, 1988.
4. M. Teal, T. Ellis, "Spatial-temporal reasoning based on object motion", BMVA, 465-474, 1996.
5. James M. Keller, Xiaomei Wang, "A Fuzzy Rule-Based Approach to Scene Description Involving Spatial Relationships", Computer vision and image understanding, vol. 80, 21-41, 2000.
6. N. McFarlane, C. Schofield, "Segmentation and tracking of piglets in images", BMVA, 187-193, 1995.
7. C. Stauffer, W. Grimson, "Adaptive background mixture models for real-time tracking", CVPR, 246-252, 1999.
8. Toyama et al., "Wallflower: Principles and Practice of Background Maintenance", ICCV, 255-261, 1999.
9. Baf et al., "Type-2 fuzzy mixture of Gaussians model: Application to background modeling", ISVC, 772-781, 2008.
10. Bouwmans et al., "Statistical background modeling for foreground detection: a survey", Handbook of Pattern Recognition and Computer Vision, SGP: World Scientific Publishing Co., Vol. 4, 181-199, 2010.
11. Mathew et al., "Detecting New Stable Objects in Surveillance Video", IEEE Workshop on Multimedia Signal Processing, 1-4, 2005.
12. Apewokin et al., "Midground object detection in real world video scenes", IEEE Conference on Advanced Video and Signal based Surveillance, 2007.
13. H Fujiyoshi, T. Kanade, "Layered Detection for Multiple Overlapping Objects", IEEE Trans. Inf. & Syst., vol. E87-D No. 12, 2004
14. N. Jacobs, R. Pless, "Time Scales in Video Surveillance", IEEE Trans. Circuits Syst. Video Technol., vol. 18(8), 1106-1113, 2008
15. Kim et al., "Background updating for visual surveillance," ISVC, 337-346, 2005.
16. Kim et al., Executable software for the algorithm in [15], http://www.umiacs.umd.edu/~knkim/UMD-BGS/index.html, 2005