Vehicle detection in intelligent transportation systems and its applications under varying environments: A review
Z Yang, LSC Pun-Cheng - Image and Vision Computing, 2018 - Elsevier
Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …
Transportation Systems. With the development of computer vision techniques and …
A comprehensive survey on pose-invariant face recognition
The capacity to recognize faces under varied poses is a fundamental human ability that
presents a unique challenge for computer vision systems. Compared to frontal face …
presents a unique challenge for computer vision systems. Compared to frontal face …
A self‐powered body motion sensing network integrated with multiple triboelectric fabrics for biometric gait recognition and auxiliary rehabilitation training
C Wei, R Cheng, C Ning, X Wei, X Peng… - Advanced Functional …, 2023 - Wiley Online Library
Gait analysis provides a convenient strategy for the diagnosis and rehabilitation assessment
of diseases of skeletal, muscular, and neurological systems. However, challenges remain in …
of diseases of skeletal, muscular, and neurological systems. However, challenges remain in …
Tensor methods in computer vision and deep learning
Tensors, or multidimensional arrays, are data structures that can naturally represent visual
data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic …
data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic …
A fast single image haze removal algorithm using color attenuation prior
Q Zhu, J Mai, L Shao - IEEE transactions on image processing, 2015 - ieeexplore.ieee.org
Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …
Low-rank high-order tensor completion with applications in visual data
Recently, tensor Singular Value Decomposition (t-SVD)-based low-rank tensor completion
(LRTC) has achieved unprecedented success in addressing various pattern analysis issues …
(LRTC) has achieved unprecedented success in addressing various pattern analysis issues …
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions
Modern applications in engineering and data science are increasingly based on
multidimensional data of exceedingly high volume, variety, and structural richness …
multidimensional data of exceedingly high volume, variety, and structural richness …
Unsupervised deep hashing with similarity-adaptive and discrete optimization
Recent vision and learning studies show that learning compact hash codes can facilitate
massive data processing with significantly reduced storage and computation. Particularly …
massive data processing with significantly reduced storage and computation. Particularly …
Dynamic aggregated network for gait recognition
Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …
scene investigation, and social security, to mention a few. However, gait recognition often …
Biometric recognition by gait: A survey of modalities and features
The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …
dramatically over the past 15 years. A number of sensing modalities including those based …