The KITTI Vision Benchmark Suite

We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped into a cost-flow network with a non-overlap constraint on trajectories. The optimal data association is
found by a min-cost flow algorithm in the network.
Re-Implementation of this method without the Explicit Occlusion model.

None

@inproceedings{Zhang2008CVPR,
author = {Zhang, Li and Li, Yuan and Nevatia, Ramakant},
booktitle = {CVPR},
title = {Global data association for multi-object tracking using network flows.}
}