An implementation of Kalman Consensus Information Filter, an approximation of Kalman Consensus Filter which is distributed and scalable in n.
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Updated
Apr 3, 2021 - Jupyter Notebook
An implementation of Kalman Consensus Information Filter, an approximation of Kalman Consensus Filter which is distributed and scalable in n.
This repo has projects in the field of computer vision
A Python project about object tracking with KCF and CSRT develops a system that tracks objects in real time, using KCF for fast tracking and CSRT for greater accuracy and robustness in scenarios with deformations or occlusions.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
base on opencv write in python2.7
Some of the work done during the winter research intern at IIST, Trivandrum
In this repository track the object what is speed of object.
Tracks the wide receiver from a single shot video clip, where the offensive team is to left
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detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.
source code for a Multiple Object Tracking Algorithm
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
A collection of trackers' code for Visual Tracker Benchmark (OTB).
YOLOv3-TensorRT-INT8-KCF is a TensorRT Int8-Quantization implementation of YOLOv3 (and YOLOv3-tiny) on NVIDIA Jetson Xavier NX Board. The dataset we provide is a red ball. So we also use this to drive a car to catch the red ball, along with KCF, a traditional Object Tracking method.
An official implementation of the MAF_HDA Tracker
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