Measuring Crowd Collectiveness via Compressive Sensing

[1]  J.M. Maciejowski,et al.  Collective behavior coordination with predictive mechanisms , 2008, IEEE Circuits and Systems Magazine.

[2]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[3]  Xiaogang Wang,et al.  Coherent Filtering: Detecting Coherent Motions from Crowd Clutters , 2012, ECCV.

[4]  K.M. Passino,et al.  Stability analysis of social foraging swarms , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Jieping Ye,et al.  Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing , 2011, Physical Review X.

[6]  Xiaogang Wang,et al.  Scene-Independent Group Profiling in Crowd , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Xiaogang Wang,et al.  Measuring Crowd Collectiveness , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Daniel W Franks,et al.  Limited interactions in flocks: relating model simulations to empirical data , 2011, Journal of The Royal Society Interface.

[9]  E. Candès,et al.  Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.

[10]  Vicsek,et al.  Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.

[11]  Bolei Zhou,et al.  Measuring Crowd Collectiveness , 2013, CVPR.

[12]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[13]  A. Czirók,et al.  Collective Motion , 1999, physics/9902023.

[14]  Wen-Xu Wang,et al.  Time-series–based prediction of complex oscillator networks via compressive sensing , 2011 .

[15]  Xiaogang Wang,et al.  Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[16]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.