Poster abstract: Smart urban surveillance using fog computing

Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016

Volumn , Issue , 2016, Pages 95-96

  Chen, Ning ^d   Chen, Yu ^d   Song, Sejun ^a   Huang, Chin Tser ^b   Ye, Xinyue ^c  

^a UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

^b The Department of Mechanical Engineering   (United States)

^c KENT STATE UNIVERSITY   (United States)

^d STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Fog Computing; Real time processing; Traffic Surveillance; Urbanization

Indexed keywords

CLUTTER (INFORMATION THEORY); DECISION MAKING; FOG; INTERNET OF THINGS; NETWORK SECURITY; TARGET TRACKING; TRACKING (POSITION);

COMPUTING ARCHITECTURE; INTERNET OF THINGS (IOT); MULTI-TARGET TRACKING; REALTIME PROCESSING; SINGLE TARGET TRACKING; TRAFFIC SURVEILLANCE; UNIVERSAL SOLUTIONS; URBANIZATION;

COMPUTER ARCHITECTURE;

EID: 85010734876     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SEC.2016.25     Document Type: Conference Paper

References (2)

1. N. Chen, Y. Chen, Y. You, H. Ling, and R. Zimmermann, "Dynamic urban surveillance video stream processing using fog computing," in the 2nd IEEE International Conference on Multimedia Big Data (BigMM 2016)
2. Y. Chen, E. Blasch, N. Chen, A. Deng, H. Ling, and G. Chen, "Realtime wami streaming target tracking in fog," in SPIE Defense+ Security. International Society for Optics and Photonics, 2016, pp. 98 380D-98 380D