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Identifying Periodical Activities Independent of Video Content

Identifying Periodical Activities Independent of Video Content
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摘要 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. 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.
作者 Shahin Mehdipour Ataee Ali Broumandnia
机构地区 Department of Computer Engineering Department of Computer Engineering
出处 《Journal of Electronic Science and Technology》 CAS 2014年第1期122-129,共8页 电子科技学刊（英文版）
关键词 Machine vision periodic activitiesrecognition periodic motion detection repeatingactivities. Machine vision, periodic activitiesrecognition, periodic motion detection, repeatingactivities.
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TN919.81 [电子电信—通信与信息系统]
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Journal of Electronic Science and Technology
2014年 第1期

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