Saliency-directed prioritization of visual data in wireless surveillance networks

Information Fusion

Volumn 24, Issue , 2015, Pages 16-30

  Mehmood, Irfan ^a   Sajjad, Muhammad ^a   Ejaz, Waleed ^b   Baik, Sung Wook ^a  

^a Sejong University   (South Korea)

^b QUEEN S UNIVERSITY   (Canada)

Author keywords

Image prioritization; Monitoring applications; Salient activity detection; Wireless visual sensor networks

Indexed keywords

CAMERAS; ENERGY EFFICIENCY; IMAGE SEGMENTATION; RADIO TRANSMISSION; SECURITY SYSTEMS; SENSOR NETWORKS; SENSOR NODES;

ACTIVITY DETECTION; MONITORING APPLICATIONS; PRIORITIZATION; RELIABLE TRANSMISSION; RESOURCE CONSTRAINT; STATE-OF-THE-ART METHODS; SURVEILLANCE NETWORKS; WIRELESS VISUAL SENSOR NETWORKS;

WIRELESS SENSOR NETWORKS;

EID: 85027932003     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2014.07.002     Document Type: Article

References (57)

1. I.F. Akyildiz, T. Melodia, and K.R. Chowdury Wireless multimedia sensor networks: a survey Wirel. Commun. 14 2007 32 39
2. M. Casares, M.C. Vuran, S. Velipasalar, Design of a wireless vision sensor for object tracking in wireless vision sensor networks, in: Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on, IEEE, 2008, pp. 1-9.
3. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci A survey on sensor networks Commun. Magazine IEEE. 40 2002 102 114
4. L. Šerić, D. Stipaničev, and M. Štula Observer network and forest fire detection Inf. Fusion 12 2011 160 175
5. Y.-W. Hong, W.-J. Huang, F.-H. Chiu, and C.-C. Kuo Cooperative communications in resource-constrained wireless networks Signal Process. 24 2007 47 57
6. B. Sahoo, S. Rath, and D. Puthal Energy efficient protocols for wireless sensor networks: a survey and approach Int. J.Comput. Appl. 44 2012 0975-8887
7. H.E. Pashler The Psychology of Attention 1999 MIT press
8. K. Irgan, C. Ünsalan, and S. Baydere Low-cost prioritization of image blocks in wireless sensor networks for border surveillance J. Netw. Comput. Appl. 38 2014 54 64
9. Z. Sun, P. Wang, M.C. Vuran, M.A. Al-Rodhaan, A.M. Al-Dhelaan, and I.F. Akyildiz BorderSense: border patrol through advanced wireless sensor networks Ad Hoc Netw. 9 2011 468 477
10. L. Zhou, A.V. Vasilakos, N. Xiong, Y. Zhang, and S. Lian Scheduling security-critical multimedia applications in heterogeneous networks Comput. Commun. 34 2011 429 435
11. Y. Ye, S. Ci, A. Katsaggelos, Y. Liu, and Y. Qian Wireless video surveillance: a survey IEEE Access 1 2013 646 660
12. Y. Nam, S. Rho, and J.H. Park Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata Multimed. Tools Appl. 57 2012 315 334
13. R. Tan, G. Xing, B. Liu, J. Wang, and X. Jia Exploiting data fusion to improve the coverage of wireless sensor networks Netw., IEEE/ACM Trans. on 20 2012 450 462
14. O. Demigha, W. Hidouci, and T. Ahmed On energy efficiency in collaborative target tracking in wireless sensor network: a review Commun. Surveys Tutorials, IEEE 15 3 2013 1210 1222
15. T.-H. Tsai, and C.-Y. Lin Exploring contextual redundancy in improving object-based video coding for video sensor networks surveillance Multimed., IEEE Trans. on 14 2012 669 682
16. B. Dieber, C. Micheloni, and B. Rinner Resource-aware coverage and task assignment in visual sensor networks Circuits Syst. Video Technol., IEEE Trans. on 21 2011 1424 1437
17. M. Senouci, A. Mellouk, L. Oukhellou, and A. Aissani An evidence-based sensor coverage model Commun. Lett., IEEE 16.9 2012 1462 1465
18. Y. Wang, G. Cao, On full-view coverage in camera sensor networks, in: INFOCOM, 2011 Proc. IEEE, 2011, pp. 1781-1789.
19. Y. Wang, G. Cao, Barrier coverage in camera sensor networks, in: Proc. Twelfth ACM Int. Symp. Mobile Ad Hoc Network. Comp., ACM, 2011, p. 12.
20. M.P. Johnson, A. Bar-Noy, Pan and scan: configuring cameras for coverage, in: INFOCOM, 2011 Proc. IEEE, 2011, pp. 1071-1079.
21. A. Newell, and K. Akkaya Distributed collaborative camera actuation for redundant data elimination in wireless multimedia sensor networks Ad Hoc Netw. 9 2011 514 527
22. N. Tezcan, and W. Wang Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints Comput. Netw. 52 2008 2558 2567
23. J. Chen, J. Li, S. He, Y. Sun, and H.-H. Chen Energy-efficient coverage based on probabilistic sensing model in wireless sensor networks Commun. Lett. 14 2010 833 835
24. S. Kadhe, S. Thaskani, M.G. Chandra, B. Adiga, Reliable data transmission in sensor networks using compressive sensing and real expander codes, in: Commun. (NCC), 2012 Nat. Conf. on, IEEE, 2012, pp. 1-5.
25. T. Ma, M. Hempel, D. Peng, and H. Sharif A survey of energy-efficient compression and communication techniques for multimedia in resource constrained systems Commun. Surveys Tutorials, IEEE 15 3 2013 963 972
26. F. Li, Y. Gao, ROI-based error resilient coding of H. 264 for conversational video communication, in: Wirel. Commun. Mob. Comput. Conf. (IWCMC), 2011 7th Int., 2011, pp. 1719-1723.
27. J. Lei, M. Wu, K. Feng, C. Hu, and C. Hou Multilevel region of interest guided bit allocation for multiview video coding Optik-Int. J. Light Electron Optics 125 2014 39 43
28. K. Lam, Y. Kaneoke, A. Gunji, H. Yamasaki, E. Matsumoto, T. Naito, and R. Kakigi Magnetic response of human extrastriate cortex in the detection of coherent and incoherent motion Neuroscience 97 2000 1 10
29. W. Hu, T. Tan, L. Wang, and S. Maybank A survey on visual surveillance of object motion and behaviors Syst. Man, Cybern., Part C: Appl. Rev. IEEE Trans. on 34 2004 334 352
30. S. Zahurul, R. Jidin, N.M. Din, and S. Zahidul An improved and secure motion detection surveillance system in UNIX Int. J. Appl. Electron. Phys. Robot. 1 2013 13 17
31. J. Dou, and J. Li Modeling the background and detecting moving objects based on Sift flow Optik-Int. J. Light Electron Optics 125 2014 435 440
32. S.-C. Huang, and F.-C. Cheng Motion detection with pyramid structure of background model for intelligent surveillance systems Eng. Appl. Artif. Intell. 25 2012 1338 1348
33. K.-T. Hu, J.-J. Leou, and H.-H. Hsiao Spatiotemporal saliency detection and salient region determination for H. 264 videos J. Vis. Commun. Image Represent 24 2013 760 772
34. Y.-L. Tian, A. Hampapur, Robust salient motion detection with complex background for real-time video surveillance, in: Appl. of Comput. Vision, 2005. WACV/MOTIONS'05 Volume 1. Seventh IEEE Workshops on, 2005, pp. 30-35.
35. Y. Su, Q. Zhao, L. Zhao, and D. Gu Abrupt motion tracking using a visual saliency embedded particle filter Pattern Recognit. 2013
36. M. Lim, C. Chan, D. Monekosso, and P. Remagnino Detection of salient regions in crowded scenes Electron. Lett. 50 2014 363 365
37. A. Marcus, and O. Marques An eye on visual sensor networks Potentials, IEEE 31 2012 38 43
38. F.C. Crow, Summed-area tables for texture mapping, in: ACM SIGGRAPH Comput. Graph. 1984, pp. 207-212.
39. P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features, in: Comput. Vision Pattern Recognit. 2001. CVPR 2001, in: Proc. 2001 IEEE Comp. Soc. Conf. on, vol. 511, 2001, pp. I-511-I-518.
40. Y.-T. Chen, and C.-S. Chen Fast human detection using a novel boosted cascading structure with meta stages Image Proc., IEEE Trans. on 17 2008 1452 1464
41. H. Lee, H. Byun, Temporal gradient pattern for the near-duplicate video clustering, in: Mach. Learn. and Cybern. (ICMLC), 2010 Int. Conf. on, 2010, pp. 3186-3189.
42. B.W. Tatler The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions J. Vision 7 2007 1 4
43. L. Duan, C. Wu, J. Miao, and A.C. Bovik Visual conspicuity index: spatial dissimilarity, distance, and central bias Signal Proc. Lett. 18 2011 690 693
44. A.O. Bicen, V.C. Gungor, and O.B. Akan Delay-sensitive and multimedia communication in cognitive radio sensor networks Ad Hoc Netw. 10 2012 816 830
45. I.F. Akyildiz, T. Melodia, and K.R. Chowdhury A survey on wireless multimedia sensor networks Comput. netw. 51 2007 921 960
46. R. Umar, and A.U. Sheikh A comparative study of spectrum awareness techniques for cognitive radio oriented wireless networks Phys. Commun. 9 2013 148 170
47. O. Hussain, F. Hussain, S. Parvin, S. Han, B. Tian, and E. Chang Cognitive radio network security: a survey J. Netw. Comput. Appl. 35 6 2012 1691 1708
48. I.F. Akyildiz, B.F. Lo, and R. Balakrishnan Cooperative spectrum sensing in cognitive radio networks: a survey Phys. Commun. 4 2011 40 62
49. W. Zhang, R. Mallik, and K. Letaief Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks Wirel. Commun., IEEE Trans. on 8 2009 5761 5766
50. R.A. Abrams, and S.E. Christ Motion onset captures attention Psychol. Sci. 14 2003 427 432
51. N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, P. Ishwar, Change detection. net: a new change detection benchmark dataset, in: Comput. Vision Pattern Recognit. Workshops (CVPRW), 2012 IEEE Comput. Soc. Conf. on, 2012, pp. 1-8.
52. N. Lazarevic-McManus, J. Renno, G. Jones, Performance evaluation in visual surveillance using the F-measure, in: Proc. 4th ACM Int. Workshop on Video Surveill. Sens. networ. 2006, pp. 45-52.
53. S.K. Pal, A. Petrosino, and L. Maddalena Handbook on Soft Computing for Video Surveillance 2012 CRC Press
54. N. Lazarevic-McManus, J. Renno, D. Makris, and G.A. Jones An object-based comparative methodology for motion detection based on the F-Measure Comput. Vision Image Underst 111 2008 74 85
55. J. Makhoul, F. Kubala, R. Schwartz, R. Weischedel, Performance measures for information extraction, in: Proc. DARPA Broadcast News Workshop, 1999, pp. 249-252.
56. A. Karimaa Efficient video surveillance: performance evaluation in distributed video surveillance systems Video Surveillance, InTech 2011
57. J.W. Davis, A.M. Morison, and D.D. Woods An adaptive focus-of-attention model for video surveillance and monitoring Mach. Visi. Appl. 18 2007 41 64