differential feature
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2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yonghong Tan ◽  
Xuebin Zhou ◽  
Aiwu Chen ◽  
Songqing Zhou

In order to improve the pedestrian behavior recognition accuracy of video sequences in complex background, an improved spatial-temporal two-stream network is proposed in this paper. Firstly, the deep differential network is used to replace the temporal-stream network so as to improve the representation ability and extraction efficiency of spatiotemporal features. Then, the improved Softmax loss function based on decision-making level feature fusion mechanism is used to train the model, which can retain the spatiotemporal characteristics of images between different network frames to a greater extent and reflect the action category of pedestrians more realistically. Simulation results show that the proposed improved network achieves 87% recognition accuracy on the self-built infrared dataset, and the computational efficiency is improved by 15.1%.



Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5515
Author(s):  
Francisco de Arriba-Pérez ◽  
Silvia García-Méndez ◽  
Francisco J. González-Castaño ◽  
Enrique Costa-Montenegro

We recently proposed a novel intelligent newscaster chatbot for digital inclusion. Its controlled dialogue stages (consisting of sequences of questions that are generated with hybrid Natural Language Generation techniques based on the content) support entertaining personalisation, where user interest is estimated by analysing the sentiment of his/her answers. A differential feature of our approach is its automatic and transparent monitoring of the abstraction skills of the target users. In this work we improve the chatbot by introducing enhanced monitoring metrics based on the distance of the user responses to an accurate characterisation of the news content. We then evaluate abstraction capabilities depending on user sentiment about the news and propose a Machine Learning model to detect users that experience discomfort with precision, recall, F1 and accuracy levels over 80%.





2020 ◽  
Vol 102 ◽  
pp. 107211 ◽  
Author(s):  
Kuikui Wang ◽  
Gongping Yang ◽  
Yuwen Huang ◽  
Yilong Yin


2020 ◽  
pp. 1-11 ◽  
Author(s):  
Anusuya Arunan ◽  
Tharmakulasingam Sirojan ◽  
Jayashri Ravishankar ◽  
Eliathamby Ambikairajah


2019 ◽  
Vol 20 (6) ◽  
pp. 2085-2095
Author(s):  
Jifeng Shen ◽  
Xin Zuo ◽  
Lei Zhu ◽  
Jun Li ◽  
Wankou Yang ◽  
...  
Keyword(s):  


Author(s):  
Wenbing Wu ◽  
Jinquan Xiong ◽  
Yupeng Wu ◽  
Rihua Liu


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