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» On-line trajectory clustering for anomalous events detection
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INFOCOM
2010
IEEE
13 years 5 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
NOMS
2008
IEEE
141views Communications» more  NOMS 2008»
14 years 1 months ago
Detecting BGP anomalies with wavelet
—In this paper, we propose a BGP anomaly detection framework called BAlet that delivers both temporal and spatial localization of the potential anomalies. It requires only a simp...
Jianning Mai, Lihua Yuan, Chen-Nee Chuah
RAID
2004
Springer
14 years 11 days ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...
AVSS
2007
IEEE
14 years 1 months ago
Detecting shopper groups in video sequences
We present a generalized extensible framework for automated recognition of swarming activities in video sequences. The trajectory of each individual is produced by the visual trac...
Alex Leykin, Mihran Tuceryan
MM
2009
ACM
252views Multimedia» more  MM 2009»
14 years 1 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang