Results 1 to 10 of about 207,896 (142)
Editorial: Volumetric video processing
Frontiers in Signal ProcessingEmin Zerman, Pan Gao, Giuseppe Valenzise
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Cascading Pose Features with CNN-LSTM for Multiview Human Action Recognition
Signals, 2023 Human Action Recognition (HAR) is a branch of computer vision that deals with the identification of human actions at various levels including low level, action level, and interaction level.
Najeeb ur Rehman Malik +4 more
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Weighted Kernel Filter Based Anti-Air Object Tracking for Thermal Infrared Systems
Sensors, 2020 Visual object tracking is an important component of surveillance systems and many high-performance methods have been developed. However, these tracking methods tend to be optimized for the Red/Green/Blue (RGB) domain and are thus not suitable for use ...
Chuljoong Kim, Hanseok Ko
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Image-based plant wilting estimation
Plant Methods, 2023 Background Environmental stress due to climate or pathogens is a major threat to modern agriculture. Plant genetic resistance to these stresses is one way to develop more resilient crops, but accurately quantifying plant phenotypic responses can be ...
Changye Yang +6 more
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Seismic Data Augmentation Based on Conditional Generative Adversarial Networks
Sensors, 2020 Realistic synthetic data can be useful for data augmentation when training deep learning models to improve seismological detection and classification performance.
Yuanming Li +4 more
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Scientific Reports, 2023 The primary step in tissue cytometry is the automated distinction of individual cells (segmentation). Since cell borders are seldom labeled, cells are generally segmented by their nuclei.
Liming Wu +5 more
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Abandoned Object Detection in Video-Surveillance: Survey and Comparison
Sensors, 2018 During the last few years, abandoned object detection has emerged as a hot topic in the video-surveillance community. As a consequence, a myriad of systems has been proposed for automatic monitoring of public and private places, while addressing several ...
Elena Luna +3 more
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Sensors, 2018 Finding optimal parametrizations for people detectors is a complicated task due to the large number of parameters and the high variability of application scenarios.
Rafael Martín-Nieto +3 more
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Gait Recognition Method Based on Phase Congruency Improvement [PDF]
Jisuanji gongcheng, 2017 To overcome the adverse effects of gait silhouette change on gait recognition,this paper proposes a new gait recognition method by improving Log-Gabor phase congruency feature of gait energy map.Based on the improved local energy calculation method ...
SHI Dongcheng,JIA Lingyao,LIANG Chao,WANG Xinying
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Coarse-to-Fine Adaptive People Detection for Video Sequences by Maximizing Mutual Information †
Sensors, 2018 Applying people detectors to unseen data is challenging since patterns distributions, such as viewpoints, motion, poses, backgrounds, occlusions and people sizes, may significantly differ from the ones of the training dataset. In this paper, we propose a
Álvaro García-Martín +2 more
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