Crowd motion segmentation algorithm based on video particle flow and FTLE field
Feiyu Chen · Journal of Computer Applications · 2012
To segment moving crowd with different dynamics in complex video surveillance scenes,this paper proposed a crowd motion segmentation algorithm which was based on video particle flow and Finite Time Lyapunov Exponent(FTLE) field.Firstly,video particle flow was used to represent the long-range particle motion estimation.To optimize these particles trajectories,an energy function containing point-based appearance matching and distortion between the particles was minimized.Then the spatial gradient of the particle flow map was solved and the FTLE field was constructed.Finally,the Lagrangian Coherent Structure(LCS) in the FTLE field was used to divide flow into regions of qualitatively different dynamics.The experimental results show that the proposed algorithm can effectively segment crowd flow with different dynamics in complex video surveillance scenes,and it has strong robustness.