Marked Point Processes for Crowd Counting

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Presentation transcript:

Marked Point Processes for Crowd Counting Weina Ge and Robert T. Collins Computer Science and Engineering Department, The Pennsylvania State University, USA A crowd scene as a realization of an MPP Estimating extrinsic parameters Original image Orientation axes of a sequence determine location, scale, orientation Inliers found by RANSAC Vertical vanishing point Learning intrinsic shape classes determine body shape EM iterations Bayesian EM with Dirichlet prior 1

Marked Point Processes for Crowd Counting Delineate pedestrians in a foreground mask using shape coverings Adapt to different videos by learning the shape models rectangular covering Training samples Automatically learned shapes shape covering Weina Ge and Robert T. Collins Bayesian approach MPP prior Combined with likelihood Estimating configurations by MCMC birth: add person death: delete person update location: random walk update shape: change shape 2