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

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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

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.

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主出版物標題2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
頁面211-212
頁數2
DOIs
出版狀態已出版 - 2013
事件2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan
持續時間: 3 6月 20136 6月 2013

出版系列

名字Proceedings of the International Symposium on Consumer Electronics, ISCE

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???event.eventtypes.event.conference???2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
國家/地區Taiwan
城市Hsinchu
期間3/06/136/06/13

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