Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint
スポンサーリンク
概要
- 論文の詳細を見る
Detailed tracking is required for many vision applications. A visual feature-based constraint underlies most conventional motion estimation methods. For example, optical flow methods assume that the brightness of each pixel is constant in two consecutive frames. However, it is difficult to realize accurate extraction and tracking using only visual feature information, because viewpoint changes and inconsistent illumination cause the visual features of some regions of objects to appear different in consecutive frames. A structure-based constraint of objects is also necessary for tracking. In the proposed method, both visual feature matching and structure matching are formulated as a linear assignment problem and then integrated.
著者
-
Tomioka Yoichi
Tokyo Inst. Of Technol. Tokyo Jpn
-
Kitazawa Hitoshi
Tokyo University Of Agriculture And Technology
-
TOMIOKA Yoichi
Tokyo University of Agriculture and Technology
-
LI Zhu
Hangzhou Dianzi University
関連論文
- Image-Based Photorealistic 3D Reconstruction Using Hexagonal Representation(Computer Graphics)
- Image-Based Photorealistic 3D Reconstruction Using Hexagonal Representation
- Exclusive Block Matching for Moving Object Extraction and Tracking
- Routing of Monotonic Parallel and Orthogonal Netlists for Single-Layer Ball Grid Array Packages(Physical Design,VLSI Design and CAD Algorithms)
- Routability Driven Via Assignment and Routing for 2-Layer Ball Grid Array Packages (デザインガイア2006--VLSI設計の新しい大地を考える研究会)
- Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint