Online anomaly detection in crowd scenes via structure analysis
Abnormal behavior detection in crowd scenes is continuously a challenge in the field of
computer vision. For tackling this problem, this paper starts from a novel structure modeling …
computer vision. For tackling this problem, this paper starts from a novel structure modeling …
Crowd behavior analysis using local mid-level visual descriptors
Crowd behavior analysis has recently emerged as an increasingly important and dedicated
problem for crowd monitoring and management in the visual surveillance community. In …
problem for crowd monitoring and management in the visual surveillance community. In …
Social attribute-aware force model: exploiting richness of interaction for abnormal crowd detection
Interactions among pedestrians usually play an important role in understanding crowd
behavior. However, there are great challenges, such as occlusions, motion, and appearance …
behavior. However, there are great challenges, such as occlusions, motion, and appearance …
Crowd abnormal detection using two-stream fully convolutional neural networks
H Wei, Y Xiao, R Li, X Liu - 2018 10th International Conference …, 2018 - ieeexplore.ieee.org
The safety of public places and the monitoring of abnormal events have always been
important, and there are a lot of crowd abnormal events detection methods have been …
important, and there are a lot of crowd abnormal events detection methods have been …
Student behavior recognition from heterogeneous view perception in class based on 3-D multiscale residual dense network for the analysis of case teaching
H Liu, Y Liu, R Zhang, X Wu - Frontiers in neurorobotics, 2021 - frontiersin.org
The study of student behavior analysis in class plays a key role in teaching and educational
reforms that can help the university to find an effective way to improve students' learning …
reforms that can help the university to find an effective way to improve students' learning …
Spatial and temporal variations of feature tracks for crowd behavior analysis
H Fradi, JL Dugelay - Journal on Multimodal User Interfaces, 2016 - Springer
The study of crowd behavior in public areas or during some public events is receiving a lot of
attention in security community to detect potential risk and to prevent overcrowd. In this …
attention in security community to detect potential risk and to prevent overcrowd. In this …
Spatio-temporal crowd density model in a human detection and tracking framework
Recently significant progress has been made in the field of person detection and tracking.
However, crowded scenes remain particularly challenging and can deeply affect the results …
However, crowded scenes remain particularly challenging and can deeply affect the results …
Motion estimation of high density crowd using fluid dynamics
Motion estimation (ME) being a fundamental process of crowd behavior analysis
experienced real challenges at high densities due to visual ambiguities and occlusion …
experienced real challenges at high densities due to visual ambiguities and occlusion …
[HTML][HTML] Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification
HY Swathi, G Shivakumar - Mathematical Biosciences and …, 2023 - aimspress.com
The high pace emergence in advanced software systems, low-cost hardware and
decentralized cloud computing technologies have broadened the horizon for vision-based …
decentralized cloud computing technologies have broadened the horizon for vision-based …
Sparse feature tracking for crowd change detection and event recognition
H Fradi, JL Dugelay - 2014 22nd International Conference on …, 2014 - ieeexplore.ieee.org
The study of crowd behavior in public areas or during some public events is receiving a lot of
attention in security community to detect potential risk and to prevent overcrowd. In this …
attention in security community to detect potential risk and to prevent overcrowd. In this …