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

Mean-shift clustering in Python in 100 lines

Optimize clustering labels using Silhouette Score.

Various projects using Open CV

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

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

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

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 .

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

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.

Object Tracking

Tracking object from video using cv2

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

Based on meanshift Algorithm Thoughts, tracking object in video.

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

Square Packing As Algorithmic Art

NLP on Women's Clothing Text Reviews