Virtual Worlds as Proxy for Multi-Object Tracking Analysis

• arxiv: http://arxiv.org/abs/1605.06457
• dataset(Virtual KITTI): http://www.xrce.xerox.com/Research-Development/Computer-Vision/Proxy-Virtual-Worlds

Multi-Person Tracking by Multicut and Deep Matching

• arxiv: http://arxiv.org/abs/1608.05404

Multi-Class Multi-Object Tracking using Changing Point Detection

• intro: changing point detection, entity transition, object detection from video, convolutional neural network
• arxiv: http://arxiv.org/abs/1608.08434

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

• intro: ECCV workshop BMTT 2016. Sensetime
• arxiv: https://arxiv.org/abs/1610.06136

Simple Online and Realtime Tracking with a Deep Association Metric

• arxiv: https://arxiv.org/abs/1703.07402
• github: https://github.com/nwojke/deep_sort

Deep Network Flow for Multi-Object Tracking

• intro: CVPR 2017
• arxiv: https://arxiv.org/abs/1706.08482

Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

https://arxiv.org/abs/1708.02843

Recurrent Autoregressive Networks for Online Multi-Object Tracking

https://arxiv.org/abs/1711.02741

SOT for MOT

• intro: Tsinghua University & Megvii Inc. (Face++)
• arxiv: https://arxiv.org/abs/1712.01059

Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly

https://arxiv.org/abs/1802.03252

Tracking Noisy Targets: A Review of Recent Object Tracking Approaches

https://arxiv.org/abs/1802.03098

Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking

• intro: University of Florida
• arxiv: https://arxiv.org/abs/1802.06897