Detecting dominant motion flows and people counting in high density crowds

Journal of WSCG

Volumn 22, Issue 1, 2014, Pages 21-30

  Khan, Sultan Daud ^a   Vizzari, Giuseppe ^a   Bandini, Stefania ^a   Basalamah, Saleh ^b  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b UMM AL QURA UNIVERSITY   (Saudi Arabia)

Author keywords

Clustering; Crowd analysis; Crowd counting; Crowd flow segmentation

Indexed keywords

EID: 84904384409     PISSN: 12136972     EISSN: 12136964     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Saad Ali and Mubarak Shah. A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis. In CVPR. IEEE Computer Society, 2007.
2. John Canny. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (6):679-698, 1986.
3. Günther Eibl and N Brandle. Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes. In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pages 1-4. IEEE, 2008.
4. Greg Hamerly and Charles Elkan. Alternatives to the k-means algorithm that find better clusterings. In Proceedings of the eleventh international conference on Information and knowledge management, pages 600-607. ACM, 2002.
5. Kazuhiko Hashimoto, Katsuya Morinaka, Nobuyuki Yoshiike, Chjihiro Kawaguchi, and Satoshi Matsueda. People count system using multi-sensing application. In Solid State Sensors and Actuators, 1997. TRANSDUCERS'97 Chicago., 1997 International Conference on, volume 2, pages 1291-1294. IEEE, 1997.
6. Berthold KP Horn and Brian G Schunck. Determining optical flow. Artificial intelligence, 17(1):185-203, 1981.
7. Sheng-Fuu Lin, Jaw-Yeh Chen, and Hung-Xin Chao. Estimation of number of people in crowded scenes using perspective transformation. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 31(6):645-654, 2001.
8. Bruce D Lucas, Takeo Kanade, et al. An iterative image registration technique with an application to stereo vision. In IJCAI, volume 81, pages 674-679, 1981.
9. Wei Li, Jiu-Hong Ruan, and Hua-An Zhao. Crowd movement segmentation using velocity field histogram curve. In Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on, pages 191-195. IEEE, 2012.
10. Wei Li, Xiaojuan Wu, K Matsumoto, and Hua-An Zhao. Crowd foreground detection and density estimation based on moment. In Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on, pages 130-135. IEEE, 2010.
11. Thomas B Moeslund and Erik Granum. A survey of computer vision-based human motion capture. Computer Vision and Image Understanding, 81(3):231-268, 2001.
12. Wenhua Ma, Lei Huang, and Changping Liu. Advanced local binary pattern descriptors for crowd estimation. In Computational Intelligence and Industrial Application, 2008. PACIIA'08. Pacific-Asia Workshop on, volume 2, pages 958-962. IEEE, 2008.
13. Ovgu Ozturk, Toshihiko Yamasaki, and Kiyoharu Aizawa. Detecting dominant motion flows in unstructured/structured crowd scenes. In ICPR, pages 3533-3536. IEEE, 2010.
14. Pini Reisman, Ofer Mano, Shai Avidan, and Amnon Shashua. Crowd detection in video sequences. In Intelligent Vehicles Symposium, 2004 IEEE, pages 66-71. IEEE, 2004.
15. Damian Roqueiro and Valery A Petrushin. Counting people using video cameras. The International Journal of Parallel, Emergent and Distributed Systems, 22(3):193-209, 2007.
16. Chris Stauffer and W Eric L Grimson. Adaptive background mixture models for real-time tracking. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., volume 2. IEEE, 1999.
17. Satyam Srivastava, Ka Ki Ng, and Edward J. Delp. Crowd flow estimation using multiple visual features for scenes with changing crowd densities. In AVSS, pages 60-65. IEEE Computer Society, 2011.
18. Thiago Teixeira and Andreas Savvides. Lightweight people counting and localizing in indoor spaces using camera sensor nodes. In Distributed Smart Cameras, 2007. ICDSC'07. First ACM/IEEE International Conference on, pages 36-43. IEEE, 2007.
19. K Terada, D Yoshida, Shunichiro Oe, and J Yamaguchi. A method of counting the passing people by using the stereo images. In Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, volume 2, pages 338-342. IEEE, 1999.
20. Habib Ullah and Nicola Conci. Crowd motion segmentation and anomaly detection via multi-label optimization. In ICPR workshop on Pattern Recognition and Crowd Analysis, 2012.
21. SA Velastin, JH Yin, AC Davies, MA Vicencio-Silva, RE Allsop, and A Penn. Analysis of crowd movements and densities in built-up environments using image processing. In Image Processing for Transport Applications, IEE Colloquium on, pages 8-10. IET, 1993.
22. SA Velastin, JH Yin, AC Davies, MA Vicencio-Silva, RE Allsop, and A Penn. Automated measurement of crowd density and motion using image processing. In Road Traffic Monitoring and Control, 1994., Seventh International Conference on, pages 127-132. IET, 1994.
23. Li Xiaohua, Shen Lansun, and Li Huanqin. Estimation of crowd density based on wavelet and support vector machine. Transactions of the Institute of Measurement and Control, 28(3):299-308, 2006.
24. Satoshi Yoshinaga, Atsushi Shimada, and Rin-ichiro Taniguchi. Real-time people counting using blob descriptor. Procedia-Social and Behavioral Sciences, 2(1):143-152, 2010.
25. Tao Zhao and Ramakant Nevatia. Bayesian human segmentation in crowded situations. In CVPR (2), pages 459-466. IEEE Computer Society, 2003.