• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System

Vol. 12, No.3, March 31, 2018
10.3837/tiis.2018.03.012, Download Paper (Free):

Abstract

Detecting and capturing 3D human structures from the intensity-based image sequences is an inherently arguable problem, which attracted attention of several researchers especially in real-time activity recognition (Real-AR). These Real-AR systems have been significantly enhanced by using depth intensity sensors that gives maximum information, in spite of the fact that conventional Real-AR systems are using RGB video sensors. This study proposed a depth-based routine-logging Real-AR system to identify the daily human activity routines and to make these surroundings an intelligent living space. Our real-time routine-logging Real-AR system is categorized into two categories. The data collection with the use of a depth camera, feature extraction based on joint information and training/recognition of each activity. In-addition, the recognition mechanism locates, and pinpoints the learned activities and induces routine-logs. The evaluation applied on the depth datasets (self-annotated and MSRAction3D datasets) demonstrated that proposed system can achieve better recognition rates and robust as compare to state-of-the-art methods. Our Real-AR should be feasibly accessible and permanently used in behavior monitoring applications, humanoid-robot systems and e-medical therapy systems.


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Cite this article

[IEEE Style]
Ahmad Jalal, Shaharyar Kamal and Dong-Seong Kim, "Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System," KSII Transactions on Internet and Information Systems, vol. 12, no. 3, pp. 1189-1204, 2018. DOI: 10.3837/tiis.2018.03.012

[ACM Style]
Jalal, A., Kamal, S., and Kim, D. 2018. Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System. KSII Transactions on Internet and Information Systems, 12, 3, (2018), 1189-1204. DOI: 10.3837/tiis.2018.03.012