MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018).
-
Updated
Jan 23, 2019 - C++
MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018).
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Counting people, dog and bicycle using SSD detection and tracking.
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.
Implementation of various methods of single / multi object tracking 🐾🛰
Here lies my university course project
Training, detecting, and tracking a Haar Cascade in OpenCV with Python
Our Exploratory Project - On Person Identification
Example
Adaptive Target Tracking Algorithm with Dynamic Weighted Hierarchical Convolutional Neural Network Feature (http://xwxt.sict.ac.cn/CN/abstract/abstract5795.shtml)
Self-Learning Object Tracking Software
Single face based video stabilisation using Haar cascades and Opencv python.
BallTrackr is an advanced video application designed to detect and track a soccer ball in real-time using YOLOV3 and KCF Tracker.
This repo has projects in the field of computer vision
Object tracking with OpenCV using KCF tracker.
Add a description, image, and links to the kcf-tracker topic page so that developers can more easily learn about it.
To associate your repository with the kcf-tracker topic, visit your repo's landing page and select "manage topics."