Multiple People Tracking

4 papers with code • 0 benchmarks • 3 datasets

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Libraries

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Most implemented papers

MOT16: A Benchmark for Multi-Object Tracking

PaddlePaddle/PaddleDetection 2 Mar 2016

Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new data and creating a framework for the standardized evaluation of multiple object tracking methods.

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

longcw/MOTDT 12 Sep 2018

Online multi-object tracking is a fundamental problem in time-critical video analysis applications.

MOT20: A benchmark for multi object tracking in crowded scenes

PaddlePaddle/PaddleDetection 19 Mar 2020

The benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal to establish a standardized evaluation of multiple object tracking methods.

Do Different Tracking Tasks Require Different Appearance Models?

Zhongdao/UniTrack NeurIPS 2021

We show how most tracking tasks can be solved within this framework, and that the same appearance model can be successfully used to obtain results that are competitive against specialised methods for most of the tasks considered.