Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rijun Liao"'
Publikováno v:
IEEE Access, Vol 12, Pp 8875-8888 (2024)
Fault diagnosis holds important significance in mitigating financial losses and ensuring equipment safety. As a crucial aspect of industrial machinery, bearing fault diagnosis becomes imperative. Nevertheless, in reality, identifying faults becomes c
Externí odkaz:
https://doaj.org/article/30d42659529d410295a6bfb9fcb2945e
Publikováno v:
Neurocomputing. 501:514-528
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Neurocomputing. 453:13-25
Gait recognition has proven to be effective for long-distance human recognition. View angle, one form of the gait variations, can change the human appearance greatly and reduce its performance. For most existing gait datasets, the angle interval betw
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 2:421-430
Model-based gait recognition is considered to be promising due to the robustness against some variations, such as clothing and baggage carried. Although model-based gait recognition has not been fully explored due to the difficulty of human body mode
Publikováno v:
Pattern Recognition. 87:179-189
The performance of gait recognition can be adversely affected by many sources of variation such as view angle, clothing, presence of and type of bag, posture, and occlusion, among others. To extract invariant gait features, we proposed a method calle
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617240
DDDAS
DDDAS
Hyperspectral image processing has attracted increasing research interest in recent years, due in part to the high spectral resolution of hyperspectral images together with the emergence of deep neural networks (DNNs) as a promising class of methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9662eb2221f22a2625a504e9ff9f3c16
https://doi.org/10.1007/978-3-030-61725-7_37
https://doi.org/10.1007/978-3-030-61725-7_37
Publikováno v:
Pattern Recognition. 98:107069
We propose in this paper a novel model-based gait recognition method, PoseGait. Gait recognition is a challenging and attractive task in biometrics. Early approaches to gait recognition were mainly appearance-based. The appearance-based features are
Publikováno v:
Biometric Recognition ISBN: 9783319979083
CCBR
CCBR
Gait is a kind of attractive biometric feature for human identification in recent decades. The view, clothing, carrying and other variations are always the challenges for gait recognition. One of the possible solutions is the model based methods. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1f2fcb65310408fceebfe3299926894
https://doi.org/10.1007/978-3-319-97909-0_15
https://doi.org/10.1007/978-3-319-97909-0_15
Publikováno v:
Biometric Recognition ISBN: 9783319699226
CCBR
CCBR
One of the most attractive biometric techniques is gait recognition, since its potential for human identification at a distance. But gait recognition is still challenging in real applications due to the effect of many variations on the appearance and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94ddf33716b7e4e768cf6abd1842df4c
https://doi.org/10.1007/978-3-319-69923-3_51
https://doi.org/10.1007/978-3-319-69923-3_51