A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint

By Saad M. Khan, Mubarak Shah. European Conference on Computer Vision, 2006

410 citations recorded by the source corpus.

How researchers see this paper

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On-line Boosting and Vision (2006, methodology): “Similarly to Khan and Shah [58], we use homography information to map one view onto an other.”
Crowd analysis: a survey (2008, background): “For example in [48], feet regions of the people are located by the constraint.”
Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera (2011, background): “While many tracking methods rely on background subtraction from one or several static cameras [3], [20], [24], [42], [49], recent progress in object detection has stimulated interest in combining tracking and detection.”
Compressive Sensing for Background Subtraction (2008, neutral): “obtain potential target locations as in [22].”
Intelligent multi-camera video surveillance: A review (2013, background): “…global ground plane (Chang and Gong, 2001; Black et al., 2002; Otsuka and Mukawa, 2004; Hu et al., 2006; Fleuret et al., 2008; Straw et al., 2010) or based on the homography between camera views (Lee et al., 2000; Caspi and Irani, 2000; Khan and Shah, 2006; Eshel and Moses, 2008) after calibration.”