View-invariant measure of line correspondence and its application in people localization

Kuo Hua Lo*, Jen-Hui Chuang

*Corresponding author for this work

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

A correspondence measure of 2D line segments in two different views is proposed in this paper. Such a quantitative measure is view-invariant and can handle line segment of arbitrary configuration in the 3D scene. A line-based people localization scheme is proposed by applying such a measure to improve the efficiency of [1]. By verifying whether 2D line samples from different views belong to the same person, computations associated with incorrectly reconstructed 3D line samples of people can be avoided. Experimental results show that people localization results, in terms of correctness and accuracy, comparable to [1] can be obtained with the proposed scheme, but with more than three times in computation speed.

原文English
主出版物標題2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
頁面1985-1988
頁數4
DOIs
出版狀態Published - 1 十二月 2012
事件2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
持續時間: 30 九月 20123 十月 2012

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
國家United States
城市Lake Buena Vista, FL
期間30/09/123/10/12

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