FastMOT
multi-object-tracker
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| FastMOT | multi-object-tracker | |
|---|---|---|
| 2 | 4 | |
| 1,095 | 665 | |
| - | - | |
| 0.0 | 6.4 | |
| over 2 years ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
FastMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
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Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)
multi-object-tracker
- Multi-object trackers in Python
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Difference DeepSort and doing detection on each frame
You may find this useful: https://adipandas.github.io/multi-object-tracker/
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SORT Tracker adds extra objects
As you can see, in Frame 43, the tracker assigns the ID 10 to a metal post, but a few frames later when the tracker tracks the same metal post, it provides an ID of 11. This shows that the tracker is assigning new IDs to the same detected object. I cannot seem to find out why this happens, and how to fix it. I am using the motrackers module from this repo. I have not made any changes as such in the mot_yolov3.py file, I have just added the line to print the frame counter.
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Example Of A Simple And Well Made Python Project
I have a simple python project which has gone through at least 5 iterations since I began working on it. Please see this link: adipandas/multi-object-tracker.
What are some alternatives?
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
fast-reid - SOTA Re-identification Methods and Toolbox
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
TFJS-object-detection - Real-time custom object detection in the browser using tensorflow.js
Kornia - Geometric Computer Vision Library for Spatial AI
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Face Recognition - The world's simplest facial recognition api for Python and the command line
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.