pedestrian-tracking
There are 38 repositories under pedestrian-tracking topic.
tugot17/YOLO-Object-Counting-API
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
mikel-brostrom/Yolov3_DeepSort_Pytorch
Real-time multi-person tracker using YOLO v3 and deep sort
yas-sim/object-tracking-line-crossing-area-intrusion
Deep learning based object tracking with line crossing and area intrusion detection
m-dorgham/PedestrianTracking
People detection and tracking in stationary RGB cameras
hardik0/Multi-Object-Tracking-Google-Colab
Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab
clemente0731/Real-time-Traffic-and-Pedestrian-Counting
Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
gitmehrdad/SFSORT
SFSORT: Scene Features-based Simple Online Real-Time Tracker
Sentient07/HeadHunter--T
This repository is the official implementation of HeadHunter-T, the head tracker discussed in the CVPR paper, mentioned herewith.
Spidy20/Pedestrian_Detection_OpenCV
It is a Pedestrian(Human) Detection which is developed using OpenCV Python
biy001/social-cnn-pytorch
Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
ruiyu0/Retracking-by-Prediction
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
jeetv/GMVD
Code and GMVD Dataset for "Bringing Generalization to Deep Multi-view Pedestrian Detection". Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).
bingrao/ctin
The official implementation of CTIN model for Inertial Navigation
jeetv/GMVD_dataset
Generalized Multi-View Detection (GMVD) dataset curated using GTA V and Unity. Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).
alaradirik/people-counting
University of Glasgow, MSc Project
nilesh0109/PedestrianTracking
Yolo-v3 and SORT(kalman filter) based pedestrian detector and tracker
Smorodov/openvino_pedestrian_tracker
Standalone openvino pedestrian tracking demo project,
mvondracek/VUT-FIT-POVa-2018-Pedestrian-Tracking
Computer vision system for tracking pedestrians in a scene observed by multiple cameras.
KLONNEX/jde-reimplementation
Re-Implementation of the original JDE model with code improvements. Original repo link https://github.com/Zhongdao/Towards-Realtime-MOT
FinalFlowers/pedestrian_tracking
Pedestrian Tracking by DeepSORT and Hybrid Task Cascade with PyTorch
jatinarora2702/autonomous-vehicles
Codes for challenges and project in CS598 MAAV: Autonomous Vehicles Course, UIUC
TmohamedashrafT/Pedestrian-Tracking-Using-Kalman-Filter
Implement the Kalman filter and establish a pipeline for pedestrian detection and tracking using YOLOv5 and the Hungarian algorithm
petrovicu/skopus-mot
Multi-object tracker
prateeksawhney97/Kalman-Filter-for-tracking-a-pedestrian-in-2D
Implementation using only LASER (LIDAR) measurements to predict a pedestrian
TGoldC/ReID-GNN-based-Pedestrian-Tracking
Use ReID to model the appearance of the pedestrians and build a tracker based on Neural Message Passing (GNN).
harshiiash/Pedestrian-Detection
Detection of pedestrian in a video using opencv.
MahekDwivedi/Pedestrian-detection
Real-time Computer Visio(openCv) pedestrian detection which performs person detection in streets and footpaths . Used in Tasks such as intelligent video surveillance, traffic control systems etc.
sablikj/people-tracking
Human activity analysis using pedestrian’s trajectories performed in open spaces.
theoh-io/Perception-Pipeline
Perception pipeline to compare different method for Single Person Detection and Tracking
akshitha2903/Pedestrian_detection
Pedestrian human detection which is developed using OpenCV Python
dari22hs/CarAndPedestrianTracker
Car and pedestrian tracker. Simple example using OpenCV
G-Karishni/OpenCV-Python
Codes and Video tutorials for OpenCV!
sir3mat/cvcs
This repository provides the implementation of our paper "Exploring the Potential of Synthetic Data for Pedestrian Analysis" delivered for the "Computer Vision and Cognitive System" course @UNIMORE