wangzhiyanuestc

Deep-Learning-for-Tracking-and-Detection

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

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

Drone-Classification_End2End

This is a deep learning project involves data preparation, training using pytorch and deploy in AWS lambda

drone-dataset

Drone dataset to guide enemy drones (with some tools)

drone_classification

drone_detector

2019 IITP project at Purdue

GMPHD_whistle_contour_tracking

This package uses Gaussian mixture probability hypothesis density filter to track narrowband frequency modulated signals

IMM-UKF-PDAF-CTwithTR_predictAhead2

tracking-with-Extended-Kalman-Filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

TTK4250-IMM-PDAF

wangzhiyanuestc/GMPHD_whistle_contour_tracking

This package uses Gaussian mixture probability hypothesis density filter to track narrowband frequency modulated signals

wangzhiyanuestc/IMM-UKF-PDAF-CTwithTR_predictAhead2

wangzhiyanuestc/tracking-with-Extended-Kalman-Filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

wangzhiyanuestc/TTK4250-IMM-PDAF

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

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

wangzhiyanuestc/deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

wangzhiyanuestc/Drone-Classification_End2End

This is a deep learning project involves data preparation, training using pytorch and deploy in AWS lambda

wangzhiyanuestc/drone-dataset

Drone dataset to guide enemy drones (with some tools)

wangzhiyanuestc/drone_classification

wangzhiyanuestc/drone_detector

2019 IITP project at Purdue

wangzhiyanuestc/gmphd

A Gaussian-Mixtures Probability Hypothesis Density (GM-PHD) filter for multitarget tracking in a bayesian framework

wangzhiyanuestc/gmphd_filter

The Gaussian Mixture Probability Hypothesis Density filter, GMPHD python implementation

wangzhiyanuestc/IMM-PDA

Python implementation of the Interacting Multiple Models Probabalistic data association filter (IMM-PDA). Tracking targets from noisy RADAR data. This filter deals with multiple motion models in the Extended Kalman filter (EKF). Tuned and tested on simulated and real datasets.

wangzhiyanuestc/multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

wangzhiyanuestc/Person-Detection-and-Tracking

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking