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
In this repository track the object what is speed of object.
detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.
base on opencv write in python2.7
Some of the work done during the winter research intern at IIST, Trivandrum
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.
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.
Tracks the wide receiver from a single shot video clip, where the offensive team is to left
zKCF is an extensible C++ implementation of KCF visual tracker.
An official implementation of the MAF_HDA Tracker
Object trackers you deserve!
source code for a Multiple Object Tracking Algorithm
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
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