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» Detecting Uncommon Trajectories
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ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 9 months ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li
CVPR
2012
IEEE
11 years 10 months ago
Rolling shutter bundle adjustment
This paper introduces a bundle adjustment (BA) method that obtains accurate structure and motion from rolling shutter (RS) video sequences: RSBA. When a classical BA algorithm pro...
Johan Hedborg, Per-Erik Forssén, Michael Fe...
ICPR
2008
IEEE
14 years 8 months ago
Trajectories normalization for viewpoint invariant gait recognition
This paper proposes a method to obtain frontoparallel (side-view) body part trajectories for a walk observed from an arbitrary view. The method is based on homography transformati...
Alexandra Branzan Albu, Frédéric Jea...
PRL
2006
207views more  PRL 2006»
13 years 7 months ago
On-line trajectory clustering for anomalous events detection
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Claudio Piciarelli, Gian Luca Foresti
IWINAC
2011
Springer
12 years 10 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...