Activity recognition in wide aerial video surveillance using entity relationship models

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2012, Pages 466-469

  Choi, Jongmoo ^a   Dumortier, Yann ^a   Prokaj, Jan ^a   Medioni, Gérard ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

activity recognition; wide aerial surveillance

Indexed keywords

ABNORMAL ACTIVITY DETECTION; ACTIVITY RECOGNITION; AERIAL SURVEILLANCE; AERIAL VIDEO; CONTEXT INFORMATION; ENTITY-RELATIONSHIP MODEL; GEO-INFORMATION; HIERARCHICAL STRUCTURES; PHYSICAL MEANINGS; RELATIONAL DATABASE MANAGEMENT SYSTEMS; TRACKED OBJECTS; TRAFFIC PATTERN; WIDE AREA;

DATABASE SYSTEMS; MONITORING; SECURITY SYSTEMS;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 84872800091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2424321.2424391     Document Type: Conference Paper

References (11)

1. http://www.microsoft.com/sqlserver/.
2. http://www.sdms.afrl.af.mil/index.php?collection=clif2006.
3. P. P. Chen. The entity-relationship model - toward a unified view of data. ACM Trans. Database Syst., 1(1):9-36, 1976.
4. E. F. Codd. A relational model of data for large shared data banks. Commun. ACM, 13(6):377-387, 1970.
5. H. Gupta, L. Yu, A. Hakeem, T. E. Choe, N. Haering, and M. Locasto. Multimodal complex event detection framework for wide area surveillance. In CVPRW, pages 47-54, 2011.
6. R. Lange, F. Dürr, and K. Rothermel. Scalable processing of trajectory-based queries in space-partitioned moving objects databases. In 16th ACM SIGSPATIAL, GIS '08, pages 31:1-31:10, New York, NY, USA, 2008. ACM.
7. Y. Lin, Q. Yu, and G. Medioni. Efficient detection and tracking of moving objects in geo-coordinates. Mach. Vision Appl., 22(3):505-520, May 2011.
8. E. Pollard, B. Pannetier, and M. Rombaut. Convoy detection processing by using the hybrid algorithm (gmcphd/vs-immc-mht) and dynamic bayesian networks. In FUSION '09., pages 907-914, 2009.
9. A. Pozdnoukhov. Dynamic network data exploration through semi-supervised functional embedding. In Proceedings of the 17th ACM SIGSPATIAL, pages 372-379, 2009.
10. J. Prokaj, M. Duchaineau, and G. Medioni. Inferring tracklets for multi-object tracking. In CVPRW, pages 37 -44, 2011.
11. V. Reilly, H. Idrees, and M. Shah. Detection and tracking of large number of targets in wide area surveillance. In ECCV (3), pages 186-199, 2010.