Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A simple architecture for computing moments and orientation of an image
Fundamenta Informaticae
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Wireless technologies for telemedicine
BT Technology Journal
Proceedings of the 6th international conference on Information processing in sensor networks
An inexpensive, off-the-shelf platform for networked embedded robotics
Proceedings of the 1st international conference on Robot communication and coordination
Real-time computation of two-dimensional moments on binary images using image block representation
IEEE Transactions on Image Processing
A low-cost 3D human interface device using GPU-based optical flow algorithms
Integrated Computer-Aided Engineering
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A low-complexity algorithm for the computation of the geometrical moments of binary images has been developed and implemented on the limited CPU and RAM resources available in current low-cost on-chip CMOS cameras. This moment-based approach can be used to find the position and orientation of objects in the image plane, which has a wide range of applications from networked embedded robotics to the medical care field. In medical care applications it is envisioned that camera systems with on-chip processing algorithms, such as the one described in this paper, can be used to determine the posture of a human body, e.g. standing or lying down. By processing only binary images on the camera chip and then transmitting numbers related to the geometrical moments, security and privacy concerns can be taken care using simple procedures. It is expected that this type of camera systems will work in conjunction with a wireless body area network (WBAN) that measures vital signs. The final goal is to provide cost effective and timely information to the medical personnel responsible for the care of the patients.