Cross-camera complementary vehicle matching via feature expandsion for video forensics

Chao Yung Hsu, Chih Yang Lin*, Li Wei Kang, Hong Yuan Mark Liao

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, we will investigate a more challenging vehicle matching problem. The problem is formulated as invariant image feature matching among opposite viewpoints of cameras, i.e. complementary object matching. For example, a front vehicle object may be given as a query to retrieve a rear vehicle object of the same vehicle. To solve the complementary object matching, invariant image feature is first extracted based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, the ASIFT feature is expanded via a special vehicle database. As a result, cross-camera vehicle matching with the help of complementary part can be greatly improved. Experimental results demonstrate the effectiveness of the proposed algorithm and the feasibility to video forensics applications.

原文英語
主出版物標題2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
頁面211-212
頁數2
DOIs
出版狀態已發佈 - 2013
對外發佈
事件2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, 臺灣
持續時間: 2013 六月 32013 六月 6

出版系列

名字Proceedings of the International Symposium on Consumer Electronics, ISCE

其他

其他2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
國家/地區臺灣
城市Hsinchu
期間2013/06/032013/06/06

ASJC Scopus subject areas

  • 工程 (全部)

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