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CVPR
2010
IEEE
14 years 1 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 5 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
WWW
2007
ACM
14 years 5 months ago
Netprobe: a fast and scalable system for fraud detection in online auction networks
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
Shashank Pandit, Duen Horng Chau, Samuel Wang, Chr...
CVPR
2009
IEEE
15 years 3 days ago
Discriminative Subvolume Search for Efficient Action Detection
Actions are spatio-temporal patterns which can be characterized by collections of spatio-temporal invariant features. Detection of actions is to find the re-occurrences (e.g. th...
Junsong Yuan (Northwestern University), Zicheng Li...
GISCIENCE
2010
Springer
230views GIS» more  GISCIENCE 2010»
13 years 5 months ago
Detecting Change in Snapshot Sequences
Wireless sensor networks are deployed to monitor dynamic geographic phenomena, or objects, over space and time. This paper presents a new spatiotemporal data model for dynamic area...
Mingzheng Shi, Stephan Winter