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With the arrival of the aging society, more and more empty nest elderly appear. In order to solve the security problems caused by the fall of the empty nest elderly, this paper proposes a method to judge the elderly's fall based on motion tracking. The method combines LBP features and chromaticity features to detect the moving target. Then, the Kalman filter and Camshift were used to track the detected...
In order to remove the false edge points extracted by the Canny operator in etched character recognition, a method based on the simplified neighborhood feature and AdaBoost algorithm was proposed. In conventional neighborhood feature, canny edge points are taken as the center and neighborhood pixels are extracted as the feature. However, the dimension of the neighborhood feature rises with the square...
During target tracking, in order to obtain a higher tracking accuracy, the region we would like to track should have a good feature expression. Furthermore, we need to extract multilevel and complex features to deal with problems which are usually encountered during UAV tracking, such as the target deformation, scale change and occlusion. However, such features make tracker more complex which would...
We investigate the detection of epileptic seizure onset based on electroencephalography (EEG) signal in short-time sessions (less than one second) from various samples from epilepsy and healthy people. Wavelet transform methods are applied to extract the features embedded in the high-dimensional epileptic EEG signal. It is found that results of wavelet transform play significant roles in dimensional...
In today's technology industry where machine learning has become essential, the effectiveness of algorithms ultimately depends on a robust data pipeline, and fast model prototyping and tuning require easy feature discovery and consumption. Careful management of ETL processes and their produced datasets is key to both model development in the research stage and model execution in the production environment...
Speech-to-speech translation (S2ST) is the process by which a spoken utterance in one language is used to produce a spoken output in another language. The conventional approach to S2ST has focused on processing linguistic information only by directly translating the spoken utterance from the source language to the target language without taking into account par-alinguistic and non-linguistic information...
This paper describes an efficient fire detection approach using color and texture information. Our approach consists of Fire Pixel Based Multi-rules Detection and Fire Texture Based Classification. We segment the fire candidate region in HIS and RGB color space using multi rules based on statistic color model, and then employ LBP to extract the fire texture features from those candidate regions. Finally,...
In vivo quantification of neuroanatomical shape variations is possible due to recent advances in medical imaging and has proven useful in the study of neuropathology and neurodevelopment. In this paper, we apply a spherical wavelet transformation to extract shape features of cortical surfaces reconstructed from magnetic resonance images (MRIs) of a set of subjects. The spherical wavelet transformation...
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The curvelets is used to perform the multiscale self-adaptive enhancement transform on the finger-vein image and a neural network with local interconnection structure is designed to extract the features of the finger-vein pattern...
Advances in medical imaging technique make it possible to study shape variations of neuroanatomical structures in vivo, which has been proved useful in the study of neuropathology and neurodevelopment. In this paper, we propose the use of spherical wavelet transformation to extract shape features, as it can characterize the underlying functions in a local fashion in both space and frequency, in contrast...
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