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

• Tác giả: Johannes Wetzel
• Ngôn ngữ: eng
• ISBN-13: 978-3731511779
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2022
• Mô tả vật lý: 1 electronic resource (204 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 270212
• Chủ đề: 1. inverses Problem; 2. Netzwerk von 3D-Sensoren; 3. probabilistische Personendetektion; 4. Tiefenbilder; 5. Electrical engineering

Tóm tắt

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.