scholarly journals Automated audiovisual behavior recognition in wild primates

2021 ◽  
Vol 7 (46) ◽  
Author(s):  
Max Bain ◽  
Arsha Nagrani ◽  
Daniel Schofield ◽  
Sophie Berdugo ◽  
Joana Bessa ◽  
...  
Keyword(s):  
Behavior Recognition

Behavior recognition--W5: The next generation of technology for behavioral research

2008 ◽  
Author(s):  
J. H. Thompson ◽  
V. Kobla ◽  
X. Bai ◽  
F. Li ◽  
D. Liu ◽  
...  
Keyword(s):  
Behavioral Research ◽  
Next Generation ◽  
Behavior Recognition

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

Discriminative Random Fields for Online Behavior Recognition

2009 ◽  
Vol 32 (2) ◽  
pp. 275-281 ◽  
Author(s):  
Tian-Yu HUANG ◽  
Chong-De SHI ◽  
Feng-Xia LI ◽  
Cheng CHENG
Keyword(s):  
Random Fields ◽  
Online Behavior ◽  
Behavior Recognition

Lateral obstacle avoidance control based on driving behavior recognition of the preceding vehicles in adjacent lanes

2020 ◽  
Vol 68 (10) ◽  
pp. 880-892
Author(s):  
Youguo He ◽  
Xing Gong ◽  
Chaochun Yuan ◽  
Jie Shen ◽  
Yingkui Du
Keyword(s):  
Obstacle Avoidance ◽  
Lateral Displacement ◽  
Longitudinal Velocity ◽  
Driving Behavior ◽  
Lateral Acceleration ◽  
Lateral Motion ◽  
Behavior Recognition ◽  
Dynamic Surface ◽  
Lane Changing ◽  
The Impact

AbstractThis paper proposes a lateral lane change obstacle avoidance constraint control simulation algorithm based on the driving behavior recognition of the preceding vehicles in adjacent lanes. Firstly, the driving behavior of the preceding vehicles is recognized based on the Hidden Markov Model, this research uses longitudinal velocity, lateral displacement and lateral velocity as the optimal observation signals to recognize the driving behaviors including lane-keeping, left-lane-changing or right-lane-changing; Secondly, through the simulation of the dangerous cutting-in behavior of the preceding vehicles in adjacent lanes, this paper calculates the ideal front wheel steering angle according to the designed lateral acceleration in the process of obstacle avoidance, designs the vehicle lateral motion controller by combining the backstepping and Dynamic Surface Control, and the safety boundary of the lateral motion is constrained based on the Barrier Lyapunov Function; Finally, simulation model is built, and the simulation results show that the designed controller has good performance. This active safety technology effectively reduces the impact on the autonomous vehicle safety when the preceding vehicle suddenly cuts into the lane.

Classroom behavior recognition based on improved yolov3

2020 ◽  
Author(s):  
YiWen Zhang ◽  
Zhe Wu ◽  
XianJin Chen ◽  
LongZhi Dai ◽  
ZhiYao Li ◽  
...  
Keyword(s):  
Classroom Behavior ◽  
Behavior Recognition
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