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Title: Joint region tracking with switching hypothesized measurements
Authors: Wang, Y.
Tan, T.
Loe, K.-F. 
Issue Date: 2003
Citation: Wang, Y.,Tan, T.,Loe, K.-F. (2003). Joint region tracking with switching hypothesized measurements. Proceedings of the IEEE International Conference on Computer Vision 1 : 75-82. ScholarBank@NUS Repository.
Abstract: This paper proposes a switching hypothesized measurements (SHM) model supporting multimodal probability distributions and presents the application of the model in handling potential variability in visual environments when tracking multiple objects jointly. For a set of occlusion hypotheses, a frame is measured once under each hypothesis, resulting in a set of measurements at each time instant. A computationally efficient SHM filter is derived for online joint region tracking. Both occlusion relationships and states of the objects are recursively estimated from the history of hypothesized measurements. The reference image is updated adoptively to deal with appearance changes of the objects. The SHM model is generally applicable to various dynamic processes with multiple alternative measurement methods.
Source Title: Proceedings of the IEEE International Conference on Computer Vision
Appears in Collections:Staff Publications

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