Using DeepSort with YOLOv3 to perform multiple objects tracking
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Updated
Apr 1, 2021 - Python
Using DeepSort with YOLOv3 to perform multiple objects tracking
Real time face recognition with multiple object tracking
A solution for NFL Health & Safety -- Helmet Assignment Kaggle, based on helmet mapping and multiple object tracking.
During my summer UG research internship, I explored the use of vision transformers (ViTs) for object detection, focusing on mitigating the computational requirements of transformer models. This project successfully achieved multiple objectives and identified crucial features for future advancements in object detection using ViTs.
A submission to the experiment coding competition "MARVIN" organised by Think Cognitive Think Science
NCAR Climate and Global Dynamics seminar (4/27/21)
A multiple object tracker based on CNN
Simple implementation of multiple object tracking using Kalman filter and SSD Object detector
My bachelor thesis on the topic of multiple object tracking.
Accepted for CVPR 2019 Tracking Challenge, workshop "4th BMTT MOTChallenge Workshop - How crowded can it get?"
Multiple object tracking library
cell cycle analysis
MATLAB code implementing a simple deterministic tracking and a multi-model particle filter-based tracking, and providing tracking evaluation results on ground truth datasets.
Unofficial implementation of the Motion Feature SORT algorithm
This repository contains the code used for ClusterTracker, a multiple object tracking method that is listed as "CTv0" in the MOT20 and HT21 challenges of https://motchallenge.net. ClusterTracker is described in the following paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4102945
Deep learning-based multiple object visual tracking examples
Multiple Object Tracking
Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN
Undergraduate senior thesis research project that tracks and records movement data of many Xenopus laevis tadpoles at once, in real time.
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