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http://dx.doi.org/10.5139/JKSAS.2011.39.9.848

Track-Before-Detect Algorithm for Multiple Target Detection  

Won, Dae-Yeon (KAIST 항공우주공학)
Shim, Sang-Wook (KAIST 항공우주공학)
Kim, Keum-Seong (KAIST 항공우주공학)
Tahk, Min-Jea (KAIST 항공우주공학)
Seong, Kie-Jeong (한국항공우주연구원)
Kim, Eung-Tai (한국항공우주연구원)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.39, no.9, 2011 , pp. 848-857 More about this Journal
Abstract
Vision-based collision avoidance system for air traffic management requires a excellent multiple target detection algorithm under low signal-to-noise ratio (SNR) levels. The track-before-detect (TBD) approaches have significant applications such as detection of small and dim targets from an image sequence. In this paper, two detection algorithms with the TBD approaches are proposed to satisfy the multiple target detection requirements. The first algorithm, based on a dynamic programming approach, is designed to classify multiple targets by using a k-means clustering algorithm. In the second approach, a hidden Markov model (HMM) is slightly modified for detecting multiple targets sequentially. Both of the proposed approaches are used in numerical simulations with variations in target appearance properties to provide satisfactory performance as multiple target detection methods.
Keywords
Target Detection; Track-Before-Detect; Dynamic Programming; Hidden Markov Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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