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클러터가 존재하는 환경에서의 HPDA를 이용한 다중표적 자동탐지 및 추적 알고리듬 연구

Title
클러터가 존재하는 환경에서의 HPDA를 이용한 다중표적 자동탐지 및 추적 알고리듬 연구
Other Titles
A Study of Automatic Multi-Target Detection and Tracking Algorithm using Highest Probability Data Association in a Cluttered Environment
Author
송택렬
Keywords
HPDA(Highest Probability Data Association); MTT(Multi-Target Tracking); PHD(Probability Hypothesis Density); Data Association; Particle Filter
Issue Date
2007-10
Publisher
대한전기학회
Citation
전기학회논문지, v. 56, No. 10, Page. 1,826 - 1,835
Abstract
In this paper, we present a new approach for automatic detection and tracking for multiple targets. We combine a highest probability data association(HPDA) algorithm for target detection with a particle filter for multiple target tracking. The proposed approach evaluates the probabilities of one-to-one assignments of measurement-to-track and the measurement with the highest probability is selected to be target- originated, and the measurement is used for probabilistic weight update of particle filtering. The performance of the proposed algorithm for target tracking in clutter is compared with the existing clustering algorithm and the sequential monte carlo method for probability hypothesis density(SMC PHD) algorithm for multi-target detection and tracking. Computer simulation studies demonstrate that the HPDA algorithm is robust in performing automatic detection and tracking for multiple targets even though the environment is hostile in terms of high clutter density and low target detection probability.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01278002&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/107079
ISSN
1975-8359
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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