PASU: A personal area situation understanding system using wireless camera sensor networks

Yoon, Sangseok; Oh, Hyeong-Seok; Lee, Dong‐Hoon; Oh, Songhwai

doi:10.1007/s00779-012-0611-5

Cited by 4 publications

(4 citation statements)

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“…Each camera node has a camera, an on-board processor for image processing and wireless connectivity. We assume that a wireless camera sensor network has been deployed and that cameras are calibrated in advance, as described in [ 2 ].…”

Section: An Overview Of the Samba Motion Capture Systemmentioning

confidence: 99%

“…Each camera node tracks eight markers in its image frame and transmits the locations of markers to a server at a fixed time intervals. When the server receives marker locations from camera nodes, it computes the 3D positions of markers using multi-view geometry based on the camera network calibration parameters computed during the calibration step (for more detail, see [ 2 ]). The computed 3D markers are aligned to be compared with 3D poses in the human pose database.…”

Section: An Overview Of the Samba Motion Capture Systemmentioning

confidence: 99%

“…A wireless camera sensor network consists of inexpensive camera nodes with wireless connectivity and has been applied to a number of applications, such as surveillance, environmental monitoring, traffic modeling, human behavior understanding, human pose estimation, assisted living and sports (see [ 2 ] and the references therein). In this paper, we design and implement a motion capture system using a wireless camera sensor network.…”

Section: Introductionmentioning

confidence: 99%

“…The Samba motion capture system consists of a wireless camera sensor network, a server and an optional display. Note that a server can be a notebook computer or a smart device, as in [ 2 ], to make the overall system more portable. A human subject wears markers on her joints and performs a series of motions in front of a wireless camera sensor network.…”

Section: Introductionmentioning

confidence: 99%

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Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks

Cha

2014

Sensors

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There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will promote 3D content generation by general users and accelerate the growth of the 3D market. In this paper, we describe the design and implementation of a real-time motion capture system based on a portable low-cost wireless camera sensor network. The proposed system performs motion capture based on the data-driven 3D human pose reconstruction method to reduce the computation time and to improve the 3D reconstruction accuracy. The system can reconstruct accurate 3D full-body poses at 16 frames per second using only eight markers on the subject's body. The performance of the motion capture system is evaluated extensively in experiments.

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Section: An Overview Of the Samba Motion Capture Systemmentioning

confidence: 99%

Section: An Overview Of the Samba Motion Capture Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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