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» Likelihood Map Fusion for Visual Object Tracking
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AVSS
2007
IEEE
14 years 1 months ago
Detection of temporarily static regions by processing video at different frame rates
This paper presents an abandoned item and illegally parked vehicle detection method for single static camera video surveillance applications. By processing the input video at diff...
Fatih Porikli
CRV
2008
IEEE
205views Robotics» more  CRV 2008»
14 years 2 months ago
Accurate Boundary Localization using Dynamic Programming on Snakes
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
TVCG
2011
196views more  TVCG 2011»
13 years 2 months ago
Measurement-Based Modeling of Contact Forces and Textures for Haptic Rendering
—Haptic texture represents the fine-grained attributes of an object’s surface and is related to physical characteristics such as roughness and stiffness. We introduce an inter...
Jochen Lang, Sheldon Andrews
CVPR
2007
IEEE
14 years 1 months ago
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng W...
ICCV
2007
IEEE
14 years 9 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis