Journal articles on the topic 'Crowd dataset'
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Bhuiyan, Roman, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Wan Noorshahida Mohd Isa, Jia Uddin, and Norra Abdullah. "Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage." Sensors 22, no. 14 (July 7, 2022): 5102. http://dx.doi.org/10.3390/s22145102.
Full textBhuiyan, Md Roman, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Mohammad Ahsanul Haque, Jia Uddin, Wan Noorshahida Mohd Isa, Mohd Nizam Husen, and Norra Abdullah. "A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network." PeerJ Computer Science 8 (March 25, 2022): e895. http://dx.doi.org/10.7717/peerj-cs.895.
Full textAlafif, Tarik, Anas Hadi, Manal Allahyani, Bander Alzahrani, Areej Alhothali, Reem Alotaibi, and Ahmed Barnawi. "Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds." Electronics 12, no. 5 (February 28, 2023): 1165. http://dx.doi.org/10.3390/electronics12051165.
Full textRen, Guoyin, Xiaoqi Lu, and Yuhao Li. "Research on Local Counting and Object Detection of Multiscale Crowds in Video Based on Time-Frequency Analysis." Journal of Sensors 2022 (August 12, 2022): 1–19. http://dx.doi.org/10.1155/2022/7247757.
Full textBHUIYAN, MD ROMAN, Dr Junaidi Abdullah, Dr Noramiza Hashim, Fahmid Al Farid, Dr Jia Uddin, Norra Abdullah, and Dr Mohd Ali Samsudin. "Crowd density estimation using deep learning for Hajj pilgrimage video analytics." F1000Research 10 (January 14, 2022): 1190. http://dx.doi.org/10.12688/f1000research.73156.2.
Full textBHUIYAN, MD ROMAN, Dr Junaidi Abdullah, Dr Noramiza Hashim, Fahmid Al Farid, Dr Jia Uddin, Norra Abdullah, and Dr Mohd Ali Samsudin. "Crowd density estimation using deep learning for Hajj pilgrimage video analytics." F1000Research 10 (November 24, 2021): 1190. http://dx.doi.org/10.12688/f1000research.73156.1.
Full textWu, Junfeng, Zhiyang Li, Wenyu Qu, and Yizhi Zhou. "One Shot Crowd Counting with Deep Scale Adaptive Neural Network." Electronics 8, no. 6 (June 21, 2019): 701. http://dx.doi.org/10.3390/electronics8060701.
Full textKaya, Abdil, Stijn Denis, Ben Bellekens, Maarten Weyn, and Rafael Berkvens. "Large-Scale Dataset for Radio Frequency-Based Device-Free Crowd Estimation." Data 5, no. 2 (June 9, 2020): 52. http://dx.doi.org/10.3390/data5020052.
Full textShao, Yanhua, Wenfeng Li, Hongyu Chu, Zhiyuan Chang, Xiaoqiang Zhang, and Huayi Zhan. "A Multitask Cascading CNN with MultiScale Infrared Optical Flow Feature Fusion-Based Abnormal Crowd Behavior Monitoring UAV." Sensors 20, no. 19 (September 28, 2020): 5550. http://dx.doi.org/10.3390/s20195550.
Full textZhang, Cong, Kai Kang, Hongsheng Li, Xiaogang Wang, Rong Xie, and Xiaokang Yang. "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset." IEEE Transactions on Multimedia 18, no. 6 (June 2016): 1048–61. http://dx.doi.org/10.1109/tmm.2016.2542585.
Full textGong, Vincent X., Winnie Daamen, Alessandro Bozzon, and Serge P. Hoogendoorn. "Estimate Sentiment of Crowds from Social Media during City Events." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 11 (June 21, 2019): 836–50. http://dx.doi.org/10.1177/0361198119846461.
Full textCao, Houwei, David G. Cooper, Michael K. Keutmann, Ruben C. Gur, Ani Nenkova, and Ragini Verma. "CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset." IEEE Transactions on Affective Computing 5, no. 4 (October 1, 2014): 377–90. http://dx.doi.org/10.1109/taffc.2014.2336244.
Full textMasud, Mehedi, Parminder Singh, Gurjot Singh Gaba, Avinash Kaur, Roobaea Alrobaea Alghamdi, Mubarak Alrashoud, and Salman Ali Alqahtani. "CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson’s Disease." ACM Transactions on Internet Technology 21, no. 3 (June 9, 2021): 1–18. http://dx.doi.org/10.1145/3418500.
Full textXiang, Jun, and Na Liu. "Crowd Density Estimation Method Using Deep Learning for Passenger Flow Detection System in Exhibition Center." Scientific Programming 2022 (February 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/1990951.
Full textMiao, Yunqi, Zijia Lin, Guiguang Ding, and Jungong Han. "Shallow Feature Based Dense Attention Network for Crowd Counting." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11765–72. http://dx.doi.org/10.1609/aaai.v34i07.6848.
Full textBhuiyan, Md Roman, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Mohd Ali Samsudin, Norra Abdullah, and Jia Uddin. "Hajj pilgrimage video analytics using CNN." Bulletin of Electrical Engineering and Informatics 10, no. 5 (October 1, 2021): 2598–606. http://dx.doi.org/10.11591/eei.v10i5.2361.
Full textLarson, Martha, Mohammad Soleymani, Maria Eskevich, Pavel Serdyukov, Roeland Ordelman, and Gareth Jones. "The Community and the Crowd: Multimedia Benchmark Dataset Development." IEEE MultiMedia 19, no. 3 (July 2012): 15–23. http://dx.doi.org/10.1109/mmul.2012.27.
Full textTahira, Memoona, Sobas Mehboob, Anis U. Rahman, and Omar Arif. "CrowdFix: An Eyetracking Dataset of Real Life Crowd Videos." IEEE Access 7 (2019): 179002–9. http://dx.doi.org/10.1109/access.2019.2956840.
Full textZhang, Jun, Jiaze Liu, and Zhizhong Wang. "Convolutional Neural Network for Crowd Counting on Metro Platforms." Symmetry 13, no. 4 (April 17, 2021): 703. http://dx.doi.org/10.3390/sym13040703.
Full textMazzeo, Pier Luigi, Riccardo Contino, Paolo Spagnolo, Cosimo Distante, Ettore Stella, Massimiliano Nitti, and Vito Renò. "MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation." Journal of Imaging 6, no. 7 (July 2, 2020): 62. http://dx.doi.org/10.3390/jimaging6070062.
Full textIkeda, Kazushi, and Keiichiro Hoashi. "Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (June 15, 2018): 60–69. http://dx.doi.org/10.1609/hcomp.v6i1.13321.
Full textFerryman, James, and Anna-Louise Ellis. "Performance evaluation of crowd image analysis using the PETS2009 dataset." Pattern Recognition Letters 44 (July 2014): 3–15. http://dx.doi.org/10.1016/j.patrec.2014.01.005.
Full textGuo, Chunsheng, Hanwen Lin, Zhen He, Xiaohu Shu, and Xuguang Zhang. "Crowd Abnormal Event Detection Based on Sparse Coding." International Journal of Humanoid Robotics 16, no. 04 (August 2019): 1941005. http://dx.doi.org/10.1142/s0219843619410056.
Full textCoviello, Luca, Marco Cristoforetti, Giuseppe Jurman, and Cesare Furlanello. "GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs." Applied Sciences 10, no. 14 (July 16, 2020): 4870. http://dx.doi.org/10.3390/app10144870.
Full textBilal, Muhammad, Mohsen Marjani, Ibrahim Abaker Targio Hashem, Abdullah Gani, Misbah Liaqat, and Kwangman Ko. "Profiling and Predicting the Cumulative Helpfulness (Quality) of Crowd-Sourced Reviews." Information 10, no. 10 (September 24, 2019): 295. http://dx.doi.org/10.3390/info10100295.
Full textLuo, Hongling, Jun Sang, Weiqun Wu, Hong Xiang, Zhili Xiang, Qian Zhang, and Zhongyuan Wu. "A High-Density Crowd Counting Method Based on Convolutional Feature Fusion." Applied Sciences 8, no. 12 (November 23, 2018): 2367. http://dx.doi.org/10.3390/app8122367.
Full textShati, Narjis Mezaal. "Anomalous Behavior Detection Using the Geometrical Complex Moments in Crowd Scenes of Smart Surveillance Systems." Al-Mustansiriyah Journal of Science 28, no. 3 (July 3, 2018): 174. http://dx.doi.org/10.23851/mjs.v28i3.35.
Full textZhang, Jun, Gaoyi Zhu, and Zhizhong Wang. "Multi-Column Atrous Convolutional Neural Network for Counting Metro Passengers." Symmetry 12, no. 4 (April 24, 2020): 682. http://dx.doi.org/10.3390/sym12040682.
Full textLalit, Ruchika, and Ravindra Kumar Purwar. "Crowd Abnormality Detection Using Optical Flow and GLCM-Based Texture Features." Journal of Information Technology Research 15, no. 1 (January 2022): 1–15. http://dx.doi.org/10.4018/jitr.2022010110.
Full textGretz, Shai, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, and Noam Slonim. "A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7805–13. http://dx.doi.org/10.1609/aaai.v34i05.6285.
Full textSetti, Francesco, Davide Conigliaro, Paolo Rota, Chiara Bassetti, Nicola Conci, Nicu Sebe, and Marco Cristani. "The S-Hock dataset: A new benchmark for spectator crowd analysis." Computer Vision and Image Understanding 159 (June 2017): 47–58. http://dx.doi.org/10.1016/j.cviu.2017.01.003.
Full textAbir, Intiaz, Hasan Firdaus Mohd Zaki, and Azhar Mohd Ibrahim. "EVALUATION OF SIMULTANEOUS IDENTITY, AGE AND GENDER RECOGNITION FOR CROWD FACE MONITORING." ASEAN Engineering Journal 13, no. 1 (February 28, 2023): 11–20. http://dx.doi.org/10.11113/aej.v13.17612.
Full textKölle, M., V. Walter, S. Schmohl, and U. Soergel. "HYBRID ACQUISITION OF HIGH QUALITY TRAINING DATA FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUDS USING CROWD-BASED ACTIVE LEARNING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 501–8. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-501-2020.
Full textValeri, Beatrice, Shady Elbassuoni, and Sihem Amer-Yahia. "Acquiring Reliable Ratings from the Crowd." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (September 23, 2015): 40–41. http://dx.doi.org/10.1609/hcomp.v3i1.13261.
Full textGhadi, Yazeed Yasin, Israr Akhter, Hanan Aljuaid, Munkhjargal Gochoo, Suliman A. Alsuhibany, Ahmad Jalal, and Jeongmin Park. "Extrinsic Behavior Prediction of Pedestrians via Maximum Entropy Markov Model and Graph-Based Features Mining." Applied Sciences 12, no. 12 (June 12, 2022): 5985. http://dx.doi.org/10.3390/app12125985.
Full textRos-Candeira, Andrea, Ricardo Moreno-Llorca, Domingo Alcaraz-Segura, Francisco Javier Bonet-García, and Ana Sofia Vaz. "Social media photo content for Sierra Nevada: a dataset to support the assessment of cultural ecosystem services in protected areas." Nature Conservation 38 (March 13, 2020): 1–12. http://dx.doi.org/10.3897/natureconservation.38.38325.
Full textRos-Candeira, Andrea, Ricardo Moreno-Llorca, Domingo Alcaraz-Segura, Francisco Javier Bonet-García, and Ana Sofia Vaz. "Social media photo content for Sierra Nevada: a dataset to support the assessment of cultural ecosystem services in protected areas." Nature Conservation 38 (March 13, 2020): 1–12. http://dx.doi.org/10.3897/neobiota.38.38325.
Full textBurtsev, Mikhail, and Varvara Logacheva. "Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source." AI Magazine 41, no. 3 (September 14, 2020): 18–27. http://dx.doi.org/10.1609/aimag.v41i3.5324.
Full textN, Sandeep, Ragul N.S, Nikil Dhas P, and Vaishnavi V. "Congestion Control early warning system using Deep Learning." International Journal of Computer Communication and Informatics 3, no. 2 (October 30, 2021): 35–50. http://dx.doi.org/10.34256/ijcci2124.
Full textPetrén Bach Hansen, Victor, and Anders Søgaard. "What Do You Mean ‘Why?’: Resolving Sluices in Conversations." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7887–94. http://dx.doi.org/10.1609/aaai.v34i05.6295.
Full textZhu, Rui, Kangning Yin, Hang Xiong, Hailian Tang, and Guangqiang Yin. "Masked Face Detection Algorithm in the Dense Crowd Based on Federated Learning." Wireless Communications and Mobile Computing 2021 (October 4, 2021): 1–8. http://dx.doi.org/10.1155/2021/8586016.
Full textStylianou, Abby, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, and Robert Pless. "Hotels-50K: A Global Hotel Recognition Dataset." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 726–33. http://dx.doi.org/10.1609/aaai.v33i01.3301726.
Full textPatterson, Genevieve, Grant Van Horn, Serge Belongie, Pietro Perona, and James Hays. "Tropel: Crowdsourcing Detectors with Minimal Training." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (September 23, 2015): 150–59. http://dx.doi.org/10.1609/hcomp.v3i1.13224.
Full textMayo, Hugo, Alastair Shipman, Daniele Giunchi, Riccardo Bovo, Anthony Steed, and Thomas Heinis. "VR Toolkit for Identifying Group Characteristics." Collective Dynamics 6 (February 3, 2022): 1. http://dx.doi.org/10.17815/cd.2021.119.
Full textCsönde, Gergely, Yoshihide Sekimoto, and Takehiro Kashiyama. "Crowd Counting with Semantic Scene Segmentation in Helicopter Footage." Sensors 20, no. 17 (August 27, 2020): 4855. http://dx.doi.org/10.3390/s20174855.
Full textHameed, Mazhar, Fengbao Yang, Muhammad Imran Ghafoor, Fawwad Hassan Jaskani, Umar Islam, Muhammad Fayaz, and Gulzar Mehmood. "IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms." Wireless Communications and Mobile Computing 2022 (April 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/6274114.
Full textAbdullah, Faisal, Yazeed Yasin Ghadi, Munkhjargal Gochoo, Ahmad Jalal, and Kibum Kim. "Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier." Entropy 23, no. 5 (May 18, 2021): 628. http://dx.doi.org/10.3390/e23050628.
Full textHe, Eric, Fan Bai, Curtis Hay, Jinzhu Chen, and Vijayakumar Bhagavatula. "A Map Inference Approach Using Signal Processing from Crowd-sourced GPS Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 2 (February 2021): 1–23. http://dx.doi.org/10.1145/3431785.
Full textNie, Pei, Cien Fan, Lian Zou, Liqiong Chen, and Xiaopeng Li. "Crowd Counting Guided by Attention Network." Information 11, no. 12 (December 4, 2020): 567. http://dx.doi.org/10.3390/info11120567.
Full textCourty, Nicolas, Pierre Allain, Clement Creusot, and Thomas Corpetti. "Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods." Pattern Recognition Letters 44 (July 2014): 161–70. http://dx.doi.org/10.1016/j.patrec.2014.01.004.
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