Multiple People Tracking
4 papers with code • 0 benchmarks • 3 datasets
Benchmarks
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Libraries
Use these libraries to find Multiple People Tracking models and implementations
MMPTRACK
LTFT
Crowd in a rally | Crowd Counting | Crowd Human
Most implemented papers
MOT16: A Benchmark for Multi-Object Tracking
PaddlePaddle/PaddleDetection
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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
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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
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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
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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.
