Results 11 to 20 of about 8,471,988 (352)

TSLNet: a hierarchical multi-head attention-enabled two-stream LSTM network for accurate pedestrian tracking and behavior recognition [PDF]

Frontiers in Neurorobotics
Accurate pedestrian tracking and behavior recognition are essential for intelligent surveillance, smart transportation, and human-computer interaction systems.
Shouye Lv, Rui He, Xiaofei Cheng, Xiaoting Ma   +3 more
doaj   +2 more sources

DeepEthoProfile-Rapid Behavior Recognition in Long-Term Recorded Home-Cage Mice. [PDF]

eNeuro
Istudor A, Schatz A, Winter Y.
europepmc   +3 more sources

Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning [PDF]

Animals
Liaoning Cashmere Goats are a high-quality dual-purpose breed valued for both their cashmere and meat. They are also a key national genetic resource for the protection of livestock and poultry in China, with their intensive farming model currently taking
Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang   +4 more
doaj   +2 more sources

A Group Behavior Recognition Method Combining Scene Recognition and Behavior Recognition

Journal of Korea Multimedia Society
Yuyang Zhao, Eung-Joo Lee
openaire   +2 more sources

Postural analysis reveals persistent changes in paper wasp foundress behavioral state after conspecific challenge

Ecology and Evolution, 2023
Vigilant animals detect and respond to threats in the environment, often changing posture and movement patterns. Vigilance is modulated not only by predators but also by conspecific threats.
Andrew W. Legan, Caleb C. Vogt, Michael J. Sheehan   +2 more
doaj   +1 more source

Development of a Slow Loris Computer Vision Detection Model

Animals, 2022
The slow loris (Genus Nycticebus) is a group of small, nocturnal and venomous primates with a distinctive locomotion mode. The detection of slow loris plays an important role in the subsequent individual identification and behavioral recognition and thus
Yujie Lei, Ying Xiang, Yuhui Zhu, Yan Guan, Yu Zhang, Xiao Yang, Xiaoli Yao, Tingxuan Li, Meng Xie, Jiong Mu, Qingyong Ni   +10 more
doaj   +1 more source

ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning

Scientific Reports, 2022
Bioacoustic research spans a wide range of biological questions and applications, relying on identification of target species or smaller acoustic units, such as distinct call types.
Christian Bergler, Simeon Q. Smeele, Stephen A. Tyndel, Alexander Barnhill, Sara T. Ortiz, Ammie K. Kalan, Rachael Xi Cheng, Signe Brinkløv, Anna N. Osiecka, Jakob Tougaard, Freja Jakobsen, Magnus Wahlberg, Elmar Nöth, Andreas Maier, Barbara C. Klump   +14 more
doaj   +1 more source

Suspicious behavior recognition using deep learning

선진국방연구, 2021
The purpose of this study is to reinforce the defense and security system by recognizing the behaviors of suspicious person both inside and outside the military using deep learning.
Yeonji Park, Yoojin Jeong, Chaebong Sohn
doaj   +1 more source

Real-Time Attention Monitoring System for Classroom: A Deep Learning Approach for Student's Behavior Recognition

Big Data and Cognitive Computing, 2023
Effective classroom instruction requires monitoring student participation and interaction during class, identifying cues to simulate their attention.
Z. Trabelsi, F. Alnajjar, M. Parambil, Munkhjargal Gochoo, Luqman Ali   +4 more
semanticscholar   +1 more source

Research into Heat Stress Behavior Recognition and Evaluation Index for Yellow-Feathered Broilers, Based on Improved Cascade Region-Based Convolutional Neural Network

Agriculture, 2023
The heat stress response of broilers will adversely affect the large-scale and welfare of the breeding of broilers. In order to detect the heat stress state of broilers in time, make reasonable adjustments, and reduce losses, this paper proposed an ...
Yungang Bai, Jie Zhang, Yang Chen, Heyang Yao, Chengrui Xin, Sunyuan Wang, Jiaqi Yu, Cairong Chen, Maohua Xiao, Xiuguo Zou   +9 more
doaj   +1 more source