학술논문
Human Tracking with Sparse Distributed Cameras by Spatial-Temporal Likelihood / 時空間的尤度を考慮した疎分散カメラ間のトラッキング手法
Document Type
Journal Article
Author
Source
Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan. 2016, :19
Subject
Language
Japanese
ISSN
2436-4371
2436-4398
2436-4398
Abstract
A lot of security cameras are installed in the station and the downtown area in recent years. However blind areas where no camera covers that area are left when a broad territory is watched (sparse distributed cameras). So it is necessary to estimate the correspondence of moving objects taken by different cameras .The appearance sometimes changes drastically by the illumination change The proposed method uses the visual feature and spatial temporal information to estimate the correspondence of the moving objects. The optimum correspondence is obtained by solving Mixed Integer Programming ( MIP). It shows that robust correspondence of moving objects can be estimated under the various environmental changes.