Optimization of tobacco drying process control based on reinforcement learning
S Bi, B Zhang, L Mu, X Ding, J Wang - Drying Technology, 2020 - Taylor & Francis
Drying is an important procedure in tobacco production. The current PID based drying
suffers from issues such as overheating or inconsistent control of the amount of moisture …
suffers from issues such as overheating or inconsistent control of the amount of moisture …
A survey on aggregating methods for action recognition with dense trajectories
H Xu, Q Tian, Z Wang, J Wu - Multimedia Tools and Applications, 2016 - Springer
Action recognition has become a very important topic in computer vision with unconstrained
video sequences. There are varieties of approaches to feature extraction and video …
video sequences. There are varieties of approaches to feature extraction and video …
Trajectories-based motion neighborhood feature for human action recognition
Recently, a common and popular method that produces competitive accuracy is to employ
dense trajectories to identity human action. However, computing descriptors of dense …
dense trajectories to identity human action. However, computing descriptors of dense …
Recognizing human interactions by genetic algorithm-based random forest spatio-temporal correlation
N Li, X Cheng, H Guo, Z Wu - Pattern Analysis and Applications, 2016 - Springer
Recognizing human interactions is a more challenging task than recognizing single person
activities and has attracted much attention of the computer vision community. This paper …
activities and has attracted much attention of the computer vision community. This paper …
Data-Driven Prediction of Key Attributes for Tobacco Products
S Pang, R Hu, B Guo, J Jia, X Ding, S Yu - Proceedings of the 2021 3rd …, 2021 - dl.acm.org
Draw resistance of the cigarette is one of the critical attributes of tobacco products. It directly
affects consumers' health and has a close relationship with the release of cigarette tar …
affects consumers' health and has a close relationship with the release of cigarette tar …
Activity recognition by learning structural and pairwise mid-level features using random forest
This paper presents a novel random forest based method to build mid-level features
describing spatial and temporal structure information for activity recognition. Our model …
describing spatial and temporal structure information for activity recognition. Our model …
Learning saliency for human action recognition
D Stefic - 2016 - qmro.qmul.ac.uk
When we are looking at a visual stimuli, there are certain areas that stand out from the
neighbouring areas and immediately grab our attention. A map that identi-es such areas is …
neighbouring areas and immediately grab our attention. A map that identi-es such areas is …
[引用][C] Human action recognition based on dense trajectories analysis and random forest
PZ Pan, CL Huang - Journal of Electronic Science and …, 2016 - journal.uestc.edu.cn
[引用][C] Structured and sequential representations for human action recognition
O Çeliktutan - 2013 - platform.almanhal.com
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