Download Week 4

Alla Petrakova
D-Identify potential problems with the method and summarize how to fix
those problems.
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Five desired outcomes:
 Activity classification or actor identification based
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on characteristic behavior
Abnormality detection
Behavior prediction
Characterization of interaction
Detecting regions of interest
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Handling noise
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Adopting to changing environment (online
learning, incremental changes to an existing
model)
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Path decomposition – some small deviations
are more important than others
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Handling overlapping trajectories
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Incremental Clustering (Online Learning)
E-Identify conference/journal where this kind of paper should be
submitted.
Journal
Impact Factor
5 yr Impact
Factor
IEEE Transactions on Pattern
Aanalysis and Machine Intelligence
4.908
6.085
IEEE Transactions on Intelligent
Transportation Systems
3.452
4.090
IEEE Journal of Intelligent
Information Systems
2.154
2.316
JCIS - Journal of Computer
Information Systems
0.822
0.795
Conference
Publications Citation Count
Years
SIGMOD - International Conference
on Management of Data
2,125
67,048
1970-2011
DASFAA - Database Systems for
Advanced Applications
1,251
4,003
1989-2013
SIGKDD - Conference on Knowledge 2,062
Discovery and Data Mining
69,575
1988-2011
VLDB - Very Large Data Bases
2,720
121,330
1975-2010
CVPR - Computer Vision and Pattern 7,732
Recognition
170,568
1983-2012
IEEE International Conference on
Data Mining
18,400
2000-2011
2,512
UCF CRCV Motion Pattern Algorithm vs Other State-of-the-Art algorithms
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Jae-Gil Lee, Jiawei Han, Xiaolei Li, and Hector
Gonzalez. 2008. TraClass: trajectory
classification using hierarchical region-based
and trajectory-based clustering. Proc. VLDB
Endow. 1, 1 (August 2008), 1081-1094. (83
citations)
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Z.Fu, W.Hu, T.Tan, “Similarity Based Vehicle
Trajectory Clustering and Anomaly
Detection”, in Proc. Intl. Conf. on Image
Processing (ICIP’05), vol 2, pp 602-605, 2005
(101 citations).
2-layer hierarchical clustering
 lanes separated during second clustering
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spectral clustering