Search Results - "Computer vision and image processing techniques"

Multi‐view facial action unit detection via deep feature enhancement by Tang, Chuangao, Lu, Cheng, Zheng, Wenming, Zong, Yuan, Li, Sunan

“…Multi‐view facial action unit (AU) analysis has been a challenging research topic due to multiple disturbing variables, including subject identity biases…”
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Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram by Balam, Venkata Phanikrishna, Sameer, Venkata Udaya, Chinara, Suchismitha

“…Detecting drowsiness in drivers while driving is extremely important to avoid possible accidents and reduce the fatality rate due to drivers sleeping at the…”
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Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier by Hao, Min, Liu, Guangyuan, Xie, Desheng

“…Hyperspectral face recognition provides improved classification rates due to its abundant information in the face cubes of every subject in hyperspectral face database…”
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Survey on person re-identification based on deep learning by Wang, Kejun, Wang, Haolin, Liu, Meichen, Xing, Xianglei, Han, Tian

“…Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies…”
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DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation by Li, Xiaojie, Tang, Mingxuan, Guo, Feng, Li, Yuanxi, Cao, Kunling, Song, Qi, Wu, Xi, Sun, Shanhui, Zhou, Jiliu

“…) of nasopharynx structure across subjects. Moreover, extreme foreground and background class imbalance in NPC segmentation remains challenge…”
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A content‐dependent Daltonization algorithm for colour vision deficiencies based on lightness and chroma information by Shen, Xuming, Feng, Jianhua, Zhang, Xiandou

“… The evaluation by research subjects showed that the method was superior to the current methods in balancing contrast, naturalness, and colour consistency…”
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Comparison of parametric and non‐parametric Bayesian inference for fusing sensory estimates in physiological time‐series analysis by Zhu, Tingting, Javed, Hamza, Clifton, David A.

“…), due to their large inter‐ and intra‐subject variabilities. Actions taken in response to these algorithms can therefore result in sub…”
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Solution to overcome the sparsity issue of annotated data in medical domain by Pujitha, Appan K, Sivaswamy, Jayanthi

“… The noisy nature of crowdsourced annotations is overcome by assigning a reliability factor for crowd subjects based on their performance and requiring region of interest markings from the crowd…”
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Gait recognition using gait entropy image by Bashir, K, Tao Xiang, Shaogang Gong

“…Gait as a behavioural biometric is concerned with how people walk. However, most existing gait representations capture both motion and appearance information…”
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Machine learning methods for automatic cheiloscopy on facial images by Lopez-Sanchez, D, Gonzalez Arrieta, A, Corchado, JM

“…Human identification through lip recognition (i.e., cheiloscopy) has recently been studied by several authors. Most researchers use lip shape features, which…”
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Spatial Signatures for EEG-based Biometric Person Recognition by Al-Darkazali, M, Hoque, S, Deravi, F

“… The results show a high identification accuracy irrespective of the emotional state of the data subjects…”
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Research on Neural Activation Mechanism of Motor Imagery Based on Virtual Scene by Xie, Ping, Wang, Zihao, Hualei Fang, Chen, Wei, Yu, Jinxu, Fu, Zihao, He, Sifan, Chen, Xiaoling

“… In this study, six subjects were collected for 7 consecutive days of motion-imagining EEG signals in the control group (arrow scene), static…”
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Exploring emotion prediction from biometric-based keystroke dynamics data using multiagent systems by Fairhurst, M, Cheng Li, Da Costa-Abreu, M

“… Increasingly, however, work has been developing to predict soft biometric information, such as predicting the age or gender of a subject, and this sort of process is clearly of particular interest…”
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Viewing angle Effect on Gait Recognition Using Joint Kinematics by Charalambous, C.C, Bharath, A.A

“…Gait offers some advantages as a biometric; it can be applied at a distance, and without a subject's cooperation…”
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Recognition of unscripted kitchen activities and eating behaviour for health monitoring by Whitehouse, S, Yordanova, K, Paiement, A, Mirmehdi, M

“…) which is able to reason in a probabilistic manner about a subject's actions, goals, and causes of any problems during task execution…”
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Left/Right Contributions of Articulatory Muscles in Speech Recognition Using High-Density Surface Electromyography by Wang, Xiaochen, Zhu, Mingxing, Zhuang, Jiashuo, Wang, Dan, Chen, Shixiong, Yang, Zijian, Wang, Xin, Huang, Jianping, Yang, Wanzhang, Lin, Qi, Wu, Wanqing, Li, Guanglin

“…Speaking process is one of the most important activities for human communication and it is controlled by the coordination of muscles on the face and neck…”
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Feature diversity for fall detection and human indoor activities classification using radar systems by Shrestha, A, J. Le Kernec, Fioranelli, F, Cippitelli, E, Gambi, E, Spinsante, S

“… of features and classification methods, in different experimental scenarios with different subjects…”
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Thermal face recognition over time using sparse representation approach by Verdugo, JL, Hermosilla, G, Farias, G, Fingerhuth, S

“… To improve the recognition rates the approach called "Sparse Representation" was chosen. This method represents an input image as a linear combination of a dictionary composed of images of different subjects and a vector of sparse coefficients…”
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Analysing Depth Contours for Robust Real-Time Stereo Vision by Khan, T, Biglari-Abhari, M, Gimel'farb, G

“…Fast and accurate reconstruction of a 3D scene, e.g. for tracking and recognition of subject or predicting crowd behaviour, with robust real-time intelligent vision systems is essential for crime detection and prevention…”
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Bi-Local Region Based Iris Segmentation Framework for Less-Constrained Visible Wavelength Images by Chai, T.Y, Goi, B.M, Tay, Y.H, Teng, K.S, Yeo, I

“…Iris recognition systems often degrade in performance when the subjects' cooperation is not expected in a less-constrained environment captured from a greater distance by visible wavelength imaging system…”
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