Detecting Crowd through Phone
Crowd density monitoring is crucial to many applications, such as guiding tour and crowd control in commercial environments. Video or image-based solutions are high cost and cannot be applied in low-light environments. For some Radio Frequency (RF) based technologies, some people have to carry certain wireless transceivers; others also need to collect abundant ﬁnger print. These approaches are high cost and impractical. In this paper, we propose a crowd monitoring approach using mobile phone. Our design of crowd detection adopts clustering methods. Feature sets derive from Wi-Fi signal strength measurements. We use Bluetooth readings analyzing to estimate crowd density. We implement our design on off-the- shelf smart phones and evaluate its performance via extensive experiments in typical real-world scenes. Results of experiment verify the feasibility and the effectiveness of our proposed approach.
M. Li, Z. Zhang, K. Huang, and T. Tan, Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection, in Proc. of IEEE ICPR, 2008, pp. 1C4.
F. Li, C. Zhao, G. Ding, J. Gong, C. Liu, and F. Zhao, A reliable and accurate indoor localization method using phone inertial sensors, in Proc. of ACM UbiComp, 2012.
A. Albiol, M. J. Silla, A. Albiol, and J. M. Mossi, Video analysis using corner motion statistics, in Proc. of IEEE PETS, 2009, pp.31C38.
D. Conte, P. Foggia, G. Percannella, F. Tufano, and M. Vento,Counting moving people in videos by salient points detection, in Proc. of IEEE ICPR, 2010, pp. 1743C1746.
V. Rabaud and S. Belongie, Counting crowded moving objects, in Proc. of IEEE CVPR, 2006, pp. 705C711.
P. Bahl and V. N. Padmanabhan, Radar: An in-building rf-based user location and tracking system, in Proc. of IEEE INFOCOM, 2000, vol. 2, pp. 775C784.
L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, Landmarc: indoor location sensing using active rﬁd, Wireless networks, vol. 10, no. 6, pp. 701C710, 2004.
P. G. Kannan, S. P. Venkatagiri, M. C. Chan, A. L. Ananda, and L.-S.Peh, Low cost crowd counting using audio tones, in Proc. of ACM SenSys, 2012, pp. 155C168.
M. Youssef and A. Agrawala, The horus location determination system, Wireless Networks, vol. 14, no. 3, pp. 357C374.
M. Azizyan, I. Constandache, and R. Roy Choudhury, Surround sense: mobile phone localization via ambience ﬁngerprinting, in Proc. of ACM MobiCom, 2009, pp. 261C272.
Y. Ji, S. Biaz, S. Pandey, and P. Agrawal, Ariadne: a dynamic indoor signal map construction and localization system, in Proc. of ACM MobiSys, 2006, pp. 151C164.
M. Ester, H. peter Kriegel, J. S, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise, in Proc. of ACM SIGKDD, 1996.
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