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

• मुख्य लेखक: Wetzel, Johannes (auth)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Karlsruhe KIT Scientific Publishing 2022
• श्रृंखला: Forschungsberichte aus der Industriellen Informationstechnik
• विषय: Electrical engineering; probabilistische Personendetektion; Netzwerk von 3D-Sensoren; Tiefenbilder; inverses Problem; joint multi-view person detection; depth sensor indoor surveillance; mean-field variational inference; vertical top-view indoor pedestrian detection
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (204 p.)

आईएसबीएन

KSP/1000144094
9783731511779

अभिगमन

Open Access