Abstract
최근 많은 감시카메라 (CCTV)들이 사건/사고의 해결되고 있지만 기존의 감시카메라 시스템은 영상이 촬영되지 않는 지역인 사각지대에 대한 감시가 불가능하고 이러한 사각지대로 인해 감시의 효율이 낮아진다. 본 논문에서는 지하주차장에서 감시카메라 사각지대 문제 해결을 위하여 지하주차장에서 음의 세기를 이용한 퍼지로직 기반 음원 위치추정 시스템을 제안하고, 실험을 통해 성능을 분석하였다. 성능분석 결과, 퍼지로직 기반 음원 위치추정 알고리즘 (SLA_fuzzy)는 사각지대 감시카메라용 위치추정 알고리즘 (SLA) 보다 평균 4배 정도 안정적이며, 위치추정정확도가 약 29%정도 향상되었음을 확인하였다. It is very difficult to monitor the blind spots that are not recognized by traditional surveillance camera (CCTV) systems, and the surveillance efficiencies are very low though many accidents/events can be solved by the systems. In this paper, the fuzzy logic based sound source localization system using sound strength in the underground parking lot is suggested and the performance of the system is analyzed in order to enhance the stabilization and the accuracy of the localization algorithm in the suggested system. It is confirmed that the localization stabilization of the localization algorithm (SLA_fuzzy) using the fuzzy logic in the suggested system is 4 times higher than that of the conventional localization algorithm (SLA). In addition to this, the localization accuracy of the SLA_fuzzy in the suggested system is 29% higher than that of the SLA.
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