UID:
edoccha_9960795696002883
Format:
1 electronic resource (204 p.)
ISBN:
1000144094
Series Statement:
Forschungsberichte aus der Industriellen Informationstechnik
Content:
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.
Note:
English
Additional Edition:
ISBN 3-7315-1177-0
Language:
English
