reu 2013 report 4
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Alla Petrakova. REU 2013 Report 4. Potential Issues. D-Identify potential problems with the method and summarize how to fix those problems. Why cluster trajectories?. Five desired outcomes: Activity classification or actor identification based on characteristic behavior - PowerPoint PPT PresentationTRANSCRIPT
REU 2013 Report 4Alla Petrakova
Potential IssuesD-Identify potential problems with the method and summarize how to fix those problems.
Why cluster trajectories? Five desired outcomes:
Activity classification or actor identification based on characteristic behavior
Abnormality detection Behavior prediction Characterization of interaction Detecting regions of interest
Outstanding Issues of Trajectory Clustering Handling noise
Adopting to changing environment (online learning, incremental changes to an existing model)
Path decomposition – some small deviations are more important than others
Outstanding Issues for us Handling overlapping trajectories
Incremental Clustering (Online Learning)
Journals and ConferencesE-Identify conference/journal where this kind of paper should be submitted.
JournalsJournal Impact Factor 5 yr Impact
FactorIEEE 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
ConferencesConference Publicati
onsCitation 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 Discovery and Data Mining
2,062 69,575 1988-2011
VLDB - Very Large Data Bases 2,720 121,330 1975-2010
CVPR - Computer Vision and Pattern Recognition
7,732 170,568 1983-2012
IEEE International Conference on Data Mining
2,512 18,400 2000-2011
Comparisons with other algorithmsUCF CRCV Motion Pattern Algorithm vs Other State-of-the-Art algorithms
Ground Truth
Motion Pattern Algorithm
TRACLUS
TRACLASS
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)
TRACLASS
TRACLASS
TRACLASS
TRACLASS – 3 classes
TRACLASS – 3 classes
Fu, Hu, Tan Algorithm
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 spectral clustering
Fu, Hu, Tan Results