Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
Author :
Publisher : KIT Scientific Publishing
Total Pages : 204
Release :
ISBN-10 : 9783731511779
ISBN-13 : 3731511770
Rating : 4/5 (79 Downloads)

Book Synopsis Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images by : Wetzel, Johannes

Download or read book Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images written by Wetzel, Johannes and published by KIT Scientific Publishing. This book was released on 2022-07-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images Related Books