Advances in Crowd Analysis for Urban Applications Through Urban Event Detection

@article{Kaiser2018AdvancesIC,
  title={Advances in Crowd Analysis for Urban Applications Through Urban Event Detection},
  author={Mohammed Shamim Kaiser and Khin T. Lwin and Mufti Mahmud and Donya Hajializadeh and Tawee Chaipimonplin and Ahmed Sarhan and Mohammed Alamgir Hossain},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2018},
  volume={19},
  pages={3092-3112}
}
The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portable and radio-frequency devices, transportation systems, video surveillance, satellites, unmanned aerial vehicles, and social networking services. This has opened a new avenue of opportunities, to understand and predict urban dynamics in detail, and… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 125 references

Reality mining: sensing complex social systems

Personal and Ubiquitous Computing • 2005
View 17 Excerpts
Highly Influenced

Electronic frog eye: Counting crowd using WiFi

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications • 2014
View 4 Excerpts
Highly Influenced

Data-driven crowd analysis in videos

2011 International Conference on Computer Vision • 2011
View 4 Excerpts
Highly Influenced

Enhancing the quality of infraredbased automatic pedestrian sensor data by nonparametric statistical method

H. Yang, K. Ozbay, B. Bartin
Transp. Res. Rec., vol. 2264, pp. 11–17, Dec. 2011. • 2011
View 4 Excerpts
Highly Influenced

Social Event Detection in Massive Mobile Phone Data Using Probabilistic Location Inference

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing • 2011
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…