FairMOT vs multi_object_tracking

FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking (by ifzhang)

multi_object_tracking

Multi-object tracking of water fleas from video. Detects dark blotches on light background, performs multi-object association, tracks them with Kalman filters. (by nuchi)

kalman-filter multi-object-tracking Computer Vision classical-computer-vision

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FairMOT		multi_object_tracking
	Project
2	Mentions	1
3,929	Stars	1
-	Growth	-
0.0	Activity	2.7
7 months ago	Latest Commit	about 3 years ago
Python	Language	Python
MIT License	License	GNU Affero General Public License v3.0

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FairMOT

Posts with mentions or reviews of FairMOT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-01.

Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
4 projects | /r/computervision | 1 Jun 2022
[D] Multi object tracking (MOT)
1 project | /r/MachineLearning | 17 Jun 2021

Looks like FairMOT (https://paperswithcode.com/paper/a-simple-baseline-for-multi-object-tracking) which has code available (https://github.com/ifzhang/FairMOT ).

multi_object_tracking

Posts with mentions or reviews of multi_object_tracking. We have used some of these posts to build our list of alternatives and similar projects.

Show HN: Critter.Camera – Browser based motion detection and image capture
1 project | news.ycombinator.com | 14 Mar 2021

I also tackled the problem of moving-window brightness calibration in a related (but more constrained) problem --- tracking water fleas moving in a tank of water where an overhead light might periodically turn on and wash out the picture.
I essentially subtracted the current frame from the max across a moving window.
I'd be interested to chat about it if you like, my email is in my profile. The code is at https://github.com/nuchi/multi_object_tracking

What are some alternatives?

When comparing FairMOT and multi_object_tracking you can also consider the following projects:

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

yolact - A simple, fully convolutional model for real-time instance segmentation.

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

BackgroundMattingV2 - Real-Time High-Resolution Background Matting