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 Parameter Adjustment for a Dynamic Programming Track-before-Detect-Based Target Detection Algorithm | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 146925 19 pages doi 2008 146925 Research Article Parameter Adjustment for a Dynamic Programming Track-before-Detect-Based Target Detection Algorithm O. Nichtern and S. R. Rotman Department of Electro-Optics Ben-Gurion University of the Negev Beer-Sheva 84105 Israel Correspondence should be addressed to O. Nichtern nichtern@ Received 28 March 2007 Revised 13 November 2007 Accepted 29 January 2008 Recommended by Roy Streit This paper addresses the problem of tracking a dim moving point target in a sequence of IR images. The proposed tracking system based on the track-before-detect TBD approach is designed to track and detect dim maneuvering targets from an image sequence under low SNR conditions a dynamic programming algorithm DPA is used to process the frames in the sequence. This paper deals with the practical issues of setting the parameters of our algorithm to maximize tracking capability. In our flexible approach we are able to accommodate different levels of noise and different target velocities and mobilities. Our algorithm is tested on real data to determine its efficacy. Copyright 2008 O. Nichtern and S. R. Rotman. 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. 1. INTRODUCTION The detection and tracking of point targets is necessary in many military applications. One particular use is in IRST infrared search and track systems where the data from the infrared spectra is used to detect targets which can be moving at subpixel velocities and subtend areas less than a pixel. Various researchers have developed track-before-detect TBD methods based on the dynamic programming algorithms DPA 1-5 . In the DPA approach one continually incorporates new data consisting of new infrared .
