EAN: 9783731511779

PROBABILISTIC MODELS AND INFERENCE FOR MULTI-VI...

In this work  the task of wide-area indoor people detection in a network of depth sensors is
examined. In particular  we investigate how the redundant and complementary multi-view
information  including the temporal context  can be jointly leveraged to improve the detection
performance. We recast the problem of multi-view people detection in overlapping depth images
as an inverse problem and present a generative probabilistic framework to jointly exploit the
temporal multi-view image evidence.

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