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Due to the advent of the aging society, homecare is more and more important. In this paper, we design and implement the contactless pulse rate measurement method based on the Android smart TV, which allows the user to measure their pulse rate without requiring of contact sensors. This framework provides a convenient measurement environment for homecare. The results of the experiment show the presenting...
Contactless physiological measurement is a new trend for long-term monitoring and future home care. Remote image photo-plethysmography (RIPPG) is one of data acquisition method for contactless measurement. Nowadays, the presented frameworks are mostly developed based on PC or smartphone. However, the large scale of image and signal operations can cause the performance issues for image capturing and...
The goal of the project is to design intelligent and robust image-processing and augmented-reality algorithms for driver assistance and enhanced vehicular safety. In particular, the focuses were two-fold: (1) realizing the abilities to identify and localize in a vehicle''s on-board video the sweeping windshield wipers during raining days and (2) designing and implementing an in-painting technique...
This paper presents a new vision-based vehicle detection method for Forward Collision Warning System (FCWS) at nighttime. Also, lane detection is performed for assistance. To effectively extract the bright objects of interest, an essential image preprocessing including the tone mapping, contrast enhancement and adaptive binaryzation is applied in the nighttime road scenes. The characteristics of taillights...
This paper proposes a novel fast dehazing method based on dark channel prior. The dark channel prior is the phenomenon about normal outdoor images containing at least one low energy pixel around a block among three channels. It helps roughly estimating the air mediums thickness, which decreases the scene transmission. We propose a variation of optical model whose single atmospheric attenuation coefficient...
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