Invention Grant
US07899253B2 Detecting moving objects in video by classifying on riemannian manifolds
有权
通过对黎曼流形进行分类来检测视频中的移动物体
- Patent Title: Detecting moving objects in video by classifying on riemannian manifolds
- Patent Title (中): 通过对黎曼流形进行分类来检测视频中的移动物体
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Application No.: US11763699Application Date: 2007-06-15
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Publication No.: US07899253B2Publication Date: 2011-03-01
- Inventor: Fatih M. Porikli , Oncel C. Tuzel
- Applicant: Fatih M. Porikli , Oncel C. Tuzel
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Dirk Brinkman; Gene Vinokur
- Main IPC: G06K9/46
- IPC: G06K9/46

Abstract:
A method constructs a classifier from training data and detects moving objects in test data using the trained classifier. High-level features are generated from low-level features extracted from training data. The high level features are positive definite matrices on an analytical manifold. A subset of the high-level features is selected, and an intrinsic mean matrix is determined. Each high-level feature is mapped to a feature vector on a tangent space of the analytical manifold using the intrinsic mean matrix. An untrained classifier is trained with the feature vectors to obtain a trained classifier. Test high-level features are similarly generated from test low-level features. The test high-level features are classified using the trained classifier to detect moving objects in the test data.
Public/Granted literature
- US20080063285A1 Detecting Moving Objects in Video by Classifying on Riemannian Manifolds Public/Granted day:2008-03-13
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