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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 Acoustic Sensor-Based Multiple Object Tracking with Visual Information Association | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 591340 19 pages doi 10.1155 2010 591340 Research Article Acoustic Sensor-Based Multiple Object Tracking with Visual Information Association Jinseok Lee 1 Sangjin Hong 1 Nammee Moon 2 and Seong-Jun Oh3 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 College of Information and Communications Korea University Seoul 136-701 Republic of Korea Correspondence should be addressed to Seong-Jun Oh seongjun@korea.ac.kr Received 6 February 2010 Revised 31 May 2010 Accepted 27 July 2010 Academic Editor Walter Kellermann Copyright 2010 Jinseok Lee 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. Object tracking by an acoustic sensor based on particle filtering is extended for the tracking of multiple objects. In order to overcome the inherent limitation of the acoustic sensor for the simultaneous multiple object tracking support from the visual sensor is considered. Cooperation from the visual sensor however is better to be minimized as the visual sensor s operation requires much higher computational resources than the acoustic sensor-based estimation especially when the visual sensor is not dedicated to object tracking and deployed for other applications. The acoustic sensor mainly tracks multiple objects and the visual sensor supports the tracking task only when the acoustic sensor has a difficulty. Several techniques based on particle filtering are used for multiple object tracking by the acoustic sensor and the limitations of the acoustic sensor are discussed to identify the need for the visual sensor cooperation. Performance of the triggering-based cooperation by
