194 related articles for article (PubMed ID: 34069994)
1. Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier.
Abdullah F; Ghadi YY; Gochoo M; Jalal A; Kim K
Entropy (Basel); 2021 May; 23(5):. PubMed ID: 34069994
[TBL] [Abstract][Full Text] [Related]
2. Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification.
Swathi HY; Shivakumar G
Math Biosci Eng; 2023 May; 20(7):12529-12561. PubMed ID: 37501454
[TBL] [Abstract][Full Text] [Related]
3. Energy Level-Based Abnormal Crowd Behavior Detection.
Zhang X; Zhang Q; Hu S; Guo C; Yu H
Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29389863
[TBL] [Abstract][Full Text] [Related]
4. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences.
Patel CI; Labana D; Pandya S; Modi K; Ghayvat H; Awais M
Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33353248
[TBL] [Abstract][Full Text] [Related]
5. Measuring Crowd Collectiveness.
Zhou B; Tang X; Zhang H; Wang X
IEEE Trans Pattern Anal Mach Intell; 2014 Aug; 36(8):1586-99. PubMed ID: 26353340
[TBL] [Abstract][Full Text] [Related]
6. Detection of Salient Crowd Motion Based on Repulsive Force Network and Direction Entropy.
Zhang X; Lin D; Zheng J; Tang X; Fang Y; Yu H
Entropy (Basel); 2019 Jun; 21(6):. PubMed ID: 33267322
[TBL] [Abstract][Full Text] [Related]
7. HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting.
Ilyas N; Lee B; Kim K
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067707
[TBL] [Abstract][Full Text] [Related]
8. An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting.
Zhang P; Lei W; Zhao X; Dong L; Lin Z
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765861
[TBL] [Abstract][Full Text] [Related]
9. Real-time seizure prediction using RLS filtering and interpolated histogram feature based on hybrid optimization algorithm of Bayesian classifier and Hunting search.
Behnam M; Pourghassem H
Comput Methods Programs Biomed; 2016 Aug; 132():115-36. PubMed ID: 27282233
[TBL] [Abstract][Full Text] [Related]
10. Online anomaly detection in crowd scenes via structure analysis.
Yuan Y; Fang J; Wang Q
IEEE Trans Cybern; 2015 Mar; 45(3):562-75. PubMed ID: 24988603
[TBL] [Abstract][Full Text] [Related]
11. COMAL: compositional multi-scale feature enhanced learning for crowd counting.
Zhou F; Zhao H; Zhang Y; Zhang Q; Liang L; Li Y; Duan Z
Multimed Tools Appl; 2022; 81(15):20541-20560. PubMed ID: 35291715
[TBL] [Abstract][Full Text] [Related]
12. Crowd behavior representation: an attribute-based approach.
Rabiee H; Haddadnia J; Mousavi H
Springerplus; 2016; 5(1):1179. PubMed ID: 27512638
[TBL] [Abstract][Full Text] [Related]
13. Crowd density estimation using deep learning for Hajj pilgrimage video analytics.
Bhuiyan MR; Abdullah DJ; Hashim DN; Farid FA; Uddin DJ; Abdullah N; Samsudin DMA
F1000Res; 2021; 10():1190. PubMed ID: 35136582
[TBL] [Abstract][Full Text] [Related]
14. Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video.
Junayed MS; Islam MB
SN Comput Sci; 2023; 4(1):67. PubMed ID: 36467857
[TBL] [Abstract][Full Text] [Related]
15. A Hierarchical Bayesian Model for Crowd Emotions.
Urizar OJ; Baig MS; Barakova EI; Regazzoni CS; Marcenaro L; Rauterberg M
Front Comput Neurosci; 2016; 10():63. PubMed ID: 27458366
[TBL] [Abstract][Full Text] [Related]
16. Fuzzy Evaluation of Crowd Safety Based on Pedestrians' Number and Distribution Entropy.
Zhang X; Yu Q; Wang Y
Entropy (Basel); 2020 Jul; 22(8):. PubMed ID: 33286603
[TBL] [Abstract][Full Text] [Related]
17. Virtual Sensing and Virtual Reality: How New Technologies Can Boost Research on Crowd Dynamics.
Moussaïd M; Schinazi VR; Kapadia M; Thrash T
Front Robot AI; 2018; 5():82. PubMed ID: 33500961
[TBL] [Abstract][Full Text] [Related]
18. Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets.
Ren W; Wang X; Tian J; Tang Y; Chan AB
IEEE Trans Image Process; 2021; 30():1439-1452. PubMed ID: 33332271
[TBL] [Abstract][Full Text] [Related]
19. PaDNet: Pan-Density Crowd Counting.
Tian Y; Lei Y; Zhang J; Wang JZ
IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725380
[TBL] [Abstract][Full Text] [Related]
20. Three-dimensional atrous inception module for crowd behavior classification.
Choi JH; Kim JH; Nasridinov A; Kim YS
Sci Rep; 2024 Jun; 14(1):14390. PubMed ID: 38909074
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]