Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker

JOURNAL:  Computer Vision Workshops (ICCV Workshops)
AUTHORS:  Leal-Taixe, L. , Pons-Moll, G.  & Rosenhahn, B.
SUMMARY:  Multiple people tracking consists in detecting the subjects at each frame and matching these detections to obtain full trajectories. In semi-crowded environments, pedestrians often occlude each other, making tracking a challenging task. Most tracking methods make the assumption that each pedestrian's motion is independent, thereby ignoring the complex and important interaction between subjects. In this paper, we present an approach which includes the interaction between pedestrians in two ways: first, considering social and grouping behavior, and second, using a global optimization scheme to solve the data association problem. Results on three challenging publicly available datasets show our method outperforms state-of-the-art tracking systems.

CULTURAL REFERENCE:  "Everybody Needs Somebody to Love"  with versions recorded by The Rolling Stones and The Blues Brothers. 

Scientific Paper

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