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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vaswani, N. Chellappa, R. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA (Vaswani, N.) |
| Abstract | The changing configuration of a group of moving landmarks can be modeled as a moving and deforming shape. The landmarks defining the shape could be moving objects(people/vehicles/robots) or rigid components of an articulated shape like the human body. In past work, the term "shape activity" has been used to denote a particular stochastic model for shape deformation. Dynamical models have been proposed for characterizing stationary shape activities (assume constant mean shape). In this work we define stochastic dynamic models for non-stationary shape activities and show that the stationary shape activity model follows as a special case of this. Most activities performed by a group of moving landmarks (here, objects) are not stationary and hence this more general model is needed. We also define a piecewise stationary model with non-stationary transitions which can be used to segment out and track a sequence of activities. Noisy observations coming from these models can be tracked using a particle filter. We discuss applications of our framework to abnormal activity detection, tracking and activity sequence segmentation. |
| Starting Page | 1521 |
| Ending Page | 1528 |
| File Size | 448232 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780395670 |
| DOI | 10.1109/CDC.2005.1582374 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | IEEE/EUCA |
| Subject Keyword | Active shape model Biological system modeling Deformable models Stochastic processes Particle tracking Particle filters Cameras Humans Vehicle dynamics Noise shaping |
| Content Type | Text |
| Resource Type | Article |
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