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» Tracking objects in video using motion and appearance models
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99
Voted
ICIP
2003
IEEE
15 years 6 months ago
A flexible multimodal object tracking system
In this paper we present a flexible multimodal object tracking system. It is based on a particle filter which combines the outputs of different measurement methods (also called ...
Harald Breit, Gerhard Rigoll
133
Voted
ISVC
2009
Springer
15 years 7 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield
119
Voted
CVPR
2005
IEEE
16 years 2 months ago
A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline
Thin plate spline (TPS) transformations have been applied to non-rigid shape matching with impressive results. However, existing methods often use a sparse set of point correspond...
Jongwoo Lim, Ming-Hsuan Yang
96
Voted
ICIP
2004
IEEE
16 years 2 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
CVPR
2012
IEEE
13 years 3 months ago
A flow model for joint action recognition and identity maintenance
We propose a framework that performs action recognition and identity maintenance of multiple targets simultaneously. Instead of first establishing tracks using an appearance mode...
Sameh Khamis, Vlad I. Morariu, Larry S. Davis