168 related articles for article (PubMed ID: 20550994)
1. Tracking and activity recognition through consensus in distributed camera networks.
Song B; Kamal AT; Soto C; Ding C; Farrell JA; Roy-Chowdhury AK
IEEE Trans Image Process; 2010 Oct; 19(10):2564-79. PubMed ID: 20550994
[TBL] [Abstract][Full Text] [Related]
2. A distributed topological camera network representation for tracking applications.
Lobaton E; Vasudevan R; Bajcsy R; Sastry S
IEEE Trans Image Process; 2010 Oct; 19(10):2516-29. PubMed ID: 20529737
[TBL] [Abstract][Full Text] [Related]
3. Cluster-based distributed face tracking in camera networks.
Yoder J; Medeiros H; Park J; Kak AC
IEEE Trans Image Process; 2010 Oct; 19(10):2551-63. PubMed ID: 20423804
[TBL] [Abstract][Full Text] [Related]
4. Cooperative object tracking and composite event detection with wireless embedded smart cameras.
Wang Y; Velipasalar S; Casares M
IEEE Trans Image Process; 2010 Oct; 19(10):2614-33. PubMed ID: 20551001
[TBL] [Abstract][Full Text] [Related]
5. Three-dimensional, automated, real-time video system for tracking limb motion in brain-machine interface studies.
Peikon ID; Fitzsimmons NA; Lebedev MA; Nicolelis MA
J Neurosci Methods; 2009 Jun; 180(2):224-33. PubMed ID: 19464514
[TBL] [Abstract][Full Text] [Related]
6. Principal axis-based correspondence between multiple cameras for people tracking.
Hu W; Hu M; Zhou X; Tan T; Lou J; Maybank S
IEEE Trans Pattern Anal Mach Intell; 2006 Apr; 28(4):663-71. PubMed ID: 16566515
[TBL] [Abstract][Full Text] [Related]
7. Geometry-driven distributed compression of the plenoptic function: performance bounds and constructive algorithms.
Gehrig N; Dragotti PL
IEEE Trans Image Process; 2009 Mar; 18(3):457-70. PubMed ID: 19188121
[TBL] [Abstract][Full Text] [Related]
8. A noniterative greedy algorithm for multiframe point correspondence.
Shafique K; Shah M
IEEE Trans Pattern Anal Mach Intell; 2005 Jan; 27(1):51-65. PubMed ID: 15628268
[TBL] [Abstract][Full Text] [Related]
9. 3-D target-based distributed smart camera network localization.
Kassebaum J; Bulusu N; Feng WC
IEEE Trans Image Process; 2010 Oct; 19(10):2530-9. PubMed ID: 20679031
[TBL] [Abstract][Full Text] [Related]
10. Localization and trajectory reconstruction in surveillance cameras with nonoverlapping views.
Pflugfelder R; Bischof H
IEEE Trans Pattern Anal Mach Intell; 2010 Apr; 32(4):709-21. PubMed ID: 20224125
[TBL] [Abstract][Full Text] [Related]
11. Illumination normalization with time-dependent intrinsic images for video surveillance.
Matsushita Y; Nishino K; Ikeuchi K; Sakauchi M
IEEE Trans Pattern Anal Mach Intell; 2004 Oct; 26(10):1336-47. PubMed ID: 15641720
[TBL] [Abstract][Full Text] [Related]
12. Multi-view human activity recognition in distributed camera sensor networks.
Mosabbeb EA; Raahemifar K; Fathy M
Sensors (Basel); 2013 Jul; 13(7):8750-70. PubMed ID: 23881136
[TBL] [Abstract][Full Text] [Related]
13. Activity modeling using event probability sequences.
Cuntoor NP; Yegnanarayana B; Chellappa R
IEEE Trans Image Process; 2008 Apr; 17(4):594-607. PubMed ID: 18390367
[TBL] [Abstract][Full Text] [Related]
14. Video-on-demand network design and maintenance using fuzzy optimization.
Abadpour A; Alfa AS; Diamond J
IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):404-20. PubMed ID: 18348923
[TBL] [Abstract][Full Text] [Related]
15. A general framework for tracking multiple people from a moving camera.
Choi W; Pantofaru C; Savarese S
IEEE Trans Pattern Anal Mach Intell; 2013 Jul; 35(7):1577-91. PubMed ID: 23681988
[TBL] [Abstract][Full Text] [Related]
16. Tracking the visual focus of attention for a varying number of wandering people.
Smith K; Ba SO; Odobez JM; Gatica-Perez D
IEEE Trans Pattern Anal Mach Intell; 2008 Jul; 30(7):1212-29. PubMed ID: 18550904
[TBL] [Abstract][Full Text] [Related]
17. BM3 E: discriminative density propagation for visual tracking.
Sminchisescu C; Kanaujia A; Metaxas DN
IEEE Trans Pattern Anal Mach Intell; 2007 Nov; 29(11):2030-44. PubMed ID: 17848782
[TBL] [Abstract][Full Text] [Related]
18. Can you see me now? Sensor positioning for automated and persistent surveillance.
Yao Y; Chen CH; Abidi B; Page D; Koschan A; Abidi M
IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):101-15. PubMed ID: 19628460
[TBL] [Abstract][Full Text] [Related]
19. Biologically inspired features for scene classification in video surveillance.
Huang K; Tao D; Yuan Y; Li X; Tan T
IEEE Trans Syst Man Cybern B Cybern; 2011 Feb; 41(1):307-13. PubMed ID: 20100675
[TBL] [Abstract][Full Text] [Related]
20. Video super-resolution using controlled subpixel detector shifts.
Ben-Ezra M; Zomet A; Nayar SK
IEEE Trans Pattern Anal Mach Intell; 2005 Jun; 27(6):977-87. PubMed ID: 15943428
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
