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» Detecting Uncommon Trajectories
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CVPR
2011
IEEE
13 years 4 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
JMM2
2007
212views more  JMM2 2007»
13 years 8 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
14 years 3 months ago
Simultaneous people tracking and localization for social robots using external laser range finders
—Robust localization of robots and reliable tracking of people are both critical requirements for the deployment of service robots in real-world environments. In crowded public s...
Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, N...
IWCMC
2010
ACM
14 years 1 months ago
Reconstruction of malicious internet flows
We describe a general-purpose distributed system capable of traceback of malicious flow trajectories in the wide area despite possible source IP spoofing. Our system requires th...
Omer Demir, Bilal Khan, Ala I. Al-Fuqaha
AMDO
2004
Springer
14 years 17 days ago
3D Human Walking Modeling
This paper presents a new approach for 3D human walking modeling from monocular image sequences. An efficient feature point selection and tracking approach has been used to compute...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...