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VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
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Computer Vision and Image Understanding
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ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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This paper describes the design of the 'BAT' (Bonn Articulated Tracker) visual tracking framework. This system allows the easy implementation of real-time, multi-camera motion tracking that can be distributed (also in multithreaded sense) across several computing nodes (or CPU cores). The system in itself does not realize any specific tracking system, but manages a meta-algorithm flow between processing blocks. An actual tracking implementation is realized by specifying the processing blocks through plugins. Depending on the plugins supplied, 'BAT' is capable to instantiate a wide-variety of systems ranging from object-detection methods to model-based deformable object tracking based on time-coherence, allowing also for hybrid algorithms. Being a "meta dataflow system", 'BAT' also naturally facilitates sensor fusion. Moreover, it can be used as a testbed to compare and evaluate different kind of tracking algorithms or algorithm substeps.