Juho Jung, Junho Ahn, Journal of Internet Computing and Services, Vol. 20, No. 1, pp. 77-86, Feb. 2019
10.7472/jksii.2019.20.1.77, Full Text:
Keywords: vision, image processing, Audio, Fusion, pattern, Single Households, Daily behavior

Abstract

As the number of single-person households increases, it is not easy to ask for help alone if a single-person household is severely injured in the home. This paper detects abnormal event when members of a single household in the home are seriously injured. It proposes an vision detection algorithm that analyzes and recognizes patterns through videos that are collected based on home CCTV. And proposes audio detection algorithms that analyze and recognize patterns of sound that occur in households based on Smartphones. If only each algorithm is used, shortcomings exist and it is difficult to detect situations such as serious injuries in a wide area. So I propose a fusion method that effectively combines the two algorithms. The performance of the detection algorithm and the precise detection performance of the proposed fusion method were evaluated, respectively.

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