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Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic light recognition system based on smartphone platforms is proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space is built to extract interesting color regions. These regions are further screened with a postprocessing step to obtain candidate...
In a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended...
In the now-popular two-dimensional code, bits are expressed using white and two black colors in the cell, which forms the element. However, such codes do not have confidentiality. Since confidentiality may be needed according to the use, a large-capacity and high-density two-dimensional code with compatibility and confidentiality can be realized by adding a secrecy part in addition to the existing...
Physical inactivity is a leading risk factor in a number of chronic diseases. Older adults are at the highest risk because they are the least inactive of all age groups. Smartphone-based intervention techniques present the opportunity to support cost-effective behavioral intervention to promote physical activity. We present a pilot study that examines the feasibility of utilizing the “Strive” smartphone-based...
Greendicator is an indicator system that enables wireless embedded sensing systems to output data encoded as LED pulses to be decoded and viewed on smart phones. The transmitter encodes the message to be displayed in the form of modulated light pulses emitted with an existing visible-light LED or other light-emitting devices such as IR, laser diode, or light reflector. The receiver uses a camera-equipped...
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