Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Object Association and Identification in Heterogeneous Sensors Environment | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 591582 18 pages doi 2010 591582 Research Article Object Association and Identification in Heterogeneous Sensors Environment Shung Han Cho 1 Sangjin Hong 1 Nammee Moon 2 Peom Park 3 and Seong-Jun Oh4 1 Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY 11794-2350 USA 2Hoseo Graduate School of Venture Hoseo University Seoul 137-867 Republic of Korea 3 Department of Industrial Information Systems Engineering Ajou University Suwon 443-749 Republic of Korea 4 College of Information and Communications Korea University Seoul 136-701 Republic of Korea Correspondence should be addressed to Seong-Jun Oh seongjun@ Received 12 June 2010 Revised 7 October 2010 Accepted 8 November 2010 Academic Editor C. C. Jay Kuo Copyright 2010 Shung Han Cho et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. An approach for dynamic object association and identification is proposed for heterogeneous sensor network consisting of visual and identification sensors. Visual sensors track objects by a 2D localization and identification sensors . RFID system fingerprint or iris recognition system are incorporated into the system for object identification. This paper illustrates the feasibility and effectiveness of information association between the position of objects estimated by visual sensors and their simultaneous registration of multiple objects. The proposed approach utilizes the object dynamics of entering and leaving the coverage of identification sensors where the location information of identification sensors and objects is available. We investigate necessary association conditions using set operations where the sets are defined by the dynamics of the objects. .
