gautamMalu / Deep-Learning-for-Tracking-and-Detection

Collection of papers and other resources for object tracking and detection using deep learning

Collection of papers and other resources for object detection and tracking using deep learning

Object Detection

• Mask R-CNN (pdf, arxiv, github) by Facebook AI Research!
  • Summary goes here...
• Tensorflow object detection API: https://github.com/tensorflow/models/tree/master/object_detection. Only the two SSD nets can run at 12.5 FPS on one GTX 1080 TI (less accurate than YOLO 604x604). Next two models at 4-5 FPS (4-5% mAP better than YOLO). Best model < 1 FPS. Currently code only allow inference of 1 image at a time. Speed might improve by 2.5 times when they allow multiple image inference.

Object Tracking

• Multi Object Tracking

  • Learning to Track: Online Multi-object Tracking by Decision Making (ICCV 2015) (Stanford) (pdf, github (Matlab), project page)

    • Summary

  • Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies (arxiv April 2017) (Stanford) (pdf, arxiv, project page)

    • Summary

  • Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor (ICCV 2015) (NEC Labs) (pdf, author page)

    • Summary

  • A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects (highest MT on MOT2015) (University of Freiburg, Germany) (pdf, arxiv, author page)

    • Summary

• Single Object Tracking

  • Deep Reinforcement Learning for Visual Object Tracking in Videos (arxiv April 2017) (USC-Santa Barbara, Samsung Research) (pdf, arxiv, author page)

    • Summary

  • Visual Tracking by Reinforced Decision Making (arxiv February 2017) (Seoul National University, Chung-Ang University) (pdf, arxiv, author page)

    • Summary

  • Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017) (Seoul National University) (pdf, project page)

    • Summary

  • End-to-end Active Object Tracking via Reinforcement Learning (arxiv 30 May 2017) (Peking University, Tencent AI Lab) (pdf, arxiv

Other potentially useful papers

• Deep Feature Flow for Video Recognition (pdf, arxiv, github) by Microsoft Research
  • Summary goes here...

Datasets

• IDOT dataset
• UA-DETRAC Benchmark Suite
• GRAM Road-Traffic Monitoring
• Stanford Drone Dataset
• Ko-PER Intersection Dataset
• TRANCOS Dataset
• Urban Tracker Dataset
• DARPA VIVID / PETS 2005 dataset (Non stationary camera)
• KIT-AKS Dataset (No ground truth)
• CBCL StreetScenes Challenge Framework (No top down viewpoint)
• MOT 2015 (mostly street level camera viewpoint)
• MOT 2016 (mostly street level camera viewpoint)
• MOT 2017 (mostly street level camera viewpoint)
• PETS 2009 (No vehicles)
• PETS 2017 (Low density; mostly pedestrians)
• KITTI Tracking Dataset (No top down viewpoint; non stationary camera)

Resources

• List of traffic surveillance datasets
• List of deep learning based tracking papers
• List of multi object tracking papers
• List of single object trackers with results on OTB
• List of Matlab frameworks, libraries and software

Tutorials

• Deep Reinforcement Learning: Pong from Pixels
• Demystifying Deep Reinforcement Learning

Code

• Multi Object Tracking
  • Learning to Track: Online Multi-Object Tracking by Decision Making (ICCV 2015)[MATLAB]
  • Multiple Hypothesis Tracking Revisited (ICCV 2015) (highest MT on MOT2015 among open source trackers)[MATLAB]
  • Joint Tracking and Segmentation of Multiple Targets (CVPR 2015)[MATLAB]
  • High-Speed Tracking-by-Detection Without Using Image Information (AVSS 21017)[Python]
• Single Object Tracking
  • DeepTracking: Seeing Beyond Seeing Using Recurrent Neural Networks (AAAI 2016)[Torch 7]
  • Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)[Matlab]
  • Learning Multi-Domain Convolutional Neural Networks for Visual Tracking (Winner of The VOT2015 Challenge)[Matlab/MatConvNet]
  • RATM: Recurrent Attentive Tracking Model[Python]
  • Visual Tracking with Fully Convolutional Networks (ICCV 2015)[Matlab]
  • Fully-Convolutional Siamese Networks for Object Tracking[Tensor flow]
  • ROLO : Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking[Tensor flow]
  • Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking (ECCV 2016)[MATLAB]
  • ECO: Efficient Convolution Operators for Tracking (CVPR 2017)[MATLAB]
  • End-to-end representation learning for Correlation Filter based tracking (CVPR 21017)[MATLAB]
  • A collection of common tracking algorithms
• Object Detection and Matching
  • Matchnet
  • Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
  • Asynchronous Methods for Deep Reinforcement Learning
  • YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
  • Deformable Convolutional Networks
  • R-FCN: Object Detection via Region-based Fully Convolutional Networks
  • PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
  • Mask RCNN in TensorFlow
• Optical Flow
  • Fast Optical Flow using Dense Inverse Search (DIS)
  • FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
• Misc
  • Darknet: Convolutional Neural Networks
  • RNNexp