Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
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Updated
Feb 10, 2017 - Python
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
Example
MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018).
Counting people, dog and bicycle using SSD detection and tracking.
Adaptive Target Tracking Algorithm with Dynamic Weighted Hierarchical Convolutional Neural Network Feature (http://xwxt.sict.ac.cn/CN/abstract/abstract5795.shtml)
detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Implementation of various methods of single / multi object tracking 🐾🛰
Self-Learning Object Tracking Software
Training, detecting, and tracking a Haar Cascade in OpenCV with Python
Our Exploratory Project - On Person Identification
Single face based video stabilisation using Haar cascades and Opencv python.
Object tracking with OpenCV using KCF tracker.
Here lies my university course project
This repo has projects in the field of computer vision
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