OBJECT TRAJECTORY CLUSTERING VIA TENSOR ANALYSIS

被引：0

作者：

Zhou, Huiyu ^{[1
]}

Tao, Dacheng ^{[2
]}

Yuan, Yuan ^{[3
]}

Li, Xuelong ^{[4
]}

机构：

[1] Brunel Univ, Uxbridge UB8 3PH, Middx, England

[2] Nanyang Technol Univ, Sch Engn & Comp, Singapore 639798, Singapore

[3] Aston Univ, Birmingham B4 7ET, W Midlands, England

[4] Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

Object trajectory; clustering; tensor analysis; mean shift;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a new video object trajectory clustering algorithm(1), which allows us to model and analyse the patterns of object behaviors based on the extracted features using tensor analysis. The proposed algorithm consists of three steps as follows: extraction of trajectory features by tensor analysis, non-parametric probabilistic mean shift clustering and clustering correction. The performance of the proposed algorithm is evaluated on standard data-sets and compared with classical techniques.

引用

页码：1945 / +

页数：2

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