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Identifying Periodical Activities Independent of Video Content
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作者 Shahin Mehdipour Ataee Ali Broumandnia 《Journal of Electronic Science and Technology》 CAS 2014年第1期122-129,共8页
In this research, a completely new and accurate method has been presented for detecting periodic activities with the help of machine vision. The proposed method is independent of motion tracking complex algorithms unl... In this research, a completely new and accurate method has been presented for detecting periodic activities with the help of machine vision. The proposed method is independent of motion tracking complex algorithms unlike the previous strategies and it is fully independent of contents and types of activities by performing low level calculation. Not using of heavy computations while improving the ability of periodicity detection is regarded as the unique feature of this method. The use of general and flexible framework in this method causes to facilitate the machine vision periodic activities identification process. 展开更多
关键词 Machine vision periodic activitiesrecognition periodic motion detection repeatingactivities.
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