다중표적을 위한 최적 데이터 결합기법 연구

홈 > 연구문헌 > 국내 논문지 > 한국정보통신학회 논문지 (Journal of the Korea Institute of Information and Communication Engineering)

한글제목(Korean Title)	다중표적을 위한 최적 데이터 결합기법 연구
영문제목(English Title)	A study on the Optimal Adaptive Data Association for Multi-Target Tracking
저자(Author)	이양원 Yang-Weon Lee
원문수록처(Citation)	VOL 06 NO. 08 PP. 1146 ~ 1152 (2002. 12)
한글내용 (Korean Abstract)
영문내용 (English Abstract)	This paper proposed a scheme for finding an optimal adaptive data association for multi-target between measurements and tracks. First, we assume the relationships between measurements as Mrkov Random Field. Also assumed a priori of the associations as a Gibbs distribution. Based on these assumptions, it was possible to reduce the MAP estimate of the association matrix to the energy minimization problem. After then, we defined an energy function over the measurement space, that may incorporate most of the important natural constraints. Through the experiments, we analyzed and compared this algorithm with other representative algorithms. The result is that it is stable, robust, fast enough for real timecomputation, as well as more accurate than other methods.
키워드(Keyword)	Multi-target tracking Data Association
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