Horesh Beny Ben Shitrit

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In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a multi-commodity network flow problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effe ...

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effect ...

Accurate video-based ball tracking in team sports is important for automated game analysis, and has proven very difficult because the ball is often occluded by the players. In this paper, we propose a novel approach to addressing this issue by formulating ...

(EN)A method for continuously tracking multiple people partitioned into groups while preserving identities under global appearance constraints, wherein people's trajectories may intersect, and wherein only sparse appearance information is available is disc ...

This paper is motivated by the objective of improving the realism of real-time simulated crowds by reducing short term collision avoidance through long term anticipation of pedestrian trajectories. For this aim, we choose to reuse outdoor pedestrian trajec ...

It has been shown that multi-people tracking could be successfullly formulated as a Linear Program to process the output of multiple fixed and synchronized cameras with overlapping fields of view. In this paper, we extend this approach to the more challeng ...

Multiple human pose estimation is an important yet challenging problem. In an Operating Room (OR) environment, the 3D body poses of surgeons and medical staff can provide important clues for surgical workflow analysis. For that purpose, we propose an algor ...

Horesh Beny Ben Shitrit

Chattez avec Graph Search

Multi-Commodity Network Flow for Tracking Multiple People

Tracking Multiple People under Global Appearance Constraints

Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play

Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People

Identity-Preserving Multiple People Tracking

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

Tracking Multiple Players using a Single Camera

Parsing human skeletons in an operating room