In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow

optimising the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges

Optimize clustering labels using Silhouette Score.

Mean-shift clustering in Python in 100 lines

Various projects using Open CV

Code/Examples for A New Approach to Robust Estimation of Parametric Structures

A project on Optical Image Tracking covering Optical Flow, Dense Optical Flow, MeanShift Technique, CamShift Technique, Single Object Tracking and Multi Object Tracking.

Implementation of some of the most used Clustering Algorithms from scratch (only using Numpy)

To track non-rigid objects in a video sequence and keeping the object at the center of the frame by controlling the movement of the camera .

Lucas-Kanade & Farneback optical flow, MeanShift/CAMShift, and OpenCV KCF/MIL trackers

Using the meanshift and optical flow algorithm to trackt objects in RTSP video streams and mp4 video files

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Object Tracking

Creating a pipeline to identify key points for a quadrilateral-shaped green card even if there is occlusion with other objects/cards of different color/ cards of green color.

Tracking object from video using cv2

Based on meanshift Algorithm Thoughts, tracking object in video.

A few simple scripts to identify aneurysm in a blood-vessel (research projects)

A practical portfolio project demonstrating implementations of computer vision techniques with OpenCV. Features: Optical Flow (Sparse/Dense), Background Subtraction (MOG2), and Object Tracking (Meanshift, Camshift, GOTURN, CSRT Multi-Tracker).