We developed a fiber-optic current sensor system for the over-current protection relay. A spun fiber was employed to eliminate linear birefringence effect, and to compare the efficiency a twisted and a Flint glass fiber were also tested. From the experimental results, we obtained less than 2% of linear error with spun fiber output according to current increases. The SNR at 60Hz is measured to be more than 55 dB. The spun fiber sensor coil showed the sensitivity of about 6 and 35 dB better than the Flint glass fiber and twisted fiber, respectively.

SUMMARY This letter presents a novel approach for traffic light detection in a video frame captured by an in-vehicle camera. The algorithm consists of rotated principal component analysis (RPCA), modified amplitude thresholding with respect to the histograms of the PC planes and final filtering with a neural network. The proposed algorithm achieves an average detection rate of 96% and is very robust to variations in the image quality.

In this letter, we propose a novel approach to detecting and tracking apartment buildings for the development of a video‐based navigation system that provides augmented reality representation of guidance information on live video sequences. For this, we propose a building detector and tracker. The detector is based on the AdaBoost classifier followed by hierarchical clustering. The classifier uses modified Haar‐like features as the primitives. The tracker is a motion‐adjusted tracker based on pyramid implementation of the Lukas‐Kanade tracker, which periodically confirms and consistently adjusts the tracking region. Experiments show that the proposed approach yields robust and reliable results and is far superior to conventional approaches.

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