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» Tracking multiple objects in non-stationary video
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ICML
2006
IEEE
14 years 7 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
PETRA
2010
ACM
13 years 4 months ago
Integrating RFID on event-based hemispheric imaging for internet of things assistive applications
Automatic surveillance of a scene in a broad sense comprises one of the core modules of pervasive applications. Typically, multiple cameras are installed in an area to identify ev...
Vassilis Kolias, Ioannis Giannoukos, Christos Anag...
CVPR
2009
IEEE
3538views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Markerless Motion Capture with Unsynchronized Moving Cameras
In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of usin...
Bodo Rosenhahn, Hans-Peter Seidel, Juergen Gall, M...
ICCV
2007
IEEE
14 years 8 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
PERCOM
2007
ACM
14 years 5 months ago
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Also, effectively monitoring a large field by analyzing images from m...
Yunhao Liu, Lei Chen 0002, Jian Pei, Qiuxia Chen, ...