💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
-
Updated
Jun 1, 2019 - Python
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Modified TensorFlow Object Detection Model for vehicle detection and tracking
A lightweight script for performing Kalman filter based object tracking using MMDetection models.
This is a disciplined Python implementation of the Recursive Least Squares Method
A human detection, tracking and counting system built using deep learning based computer vision.
Real-time object detection and tracking for autonomous driving.
Tracks trajectory of a ball using OpenCV and Kalman Filters
PixoCube is a digital version of photo cubes that people usually gift others. It is basically a 3D cube with different images consisting of different sides of the cube. The interesting part of this project is I used concepts of camera projection and only opencv functions to render the cube. Moreover the camera view point is rendered such that it…
Desktop app for detecting highway lane violations. Illegal parking, Wrong direction, Illegal over taking can be detected
Final Project for the course "Intelligent Robotic Manipulation" (WiSe 2024/25) at TU Darmstadt
This software pipeline can detect and track apples in real-time in an orchard, while effectively dealing with cases of apple occlusion. Apples are detected and segmented using a deep learning based approach and are tracked in world coordinate frame using Extended Kalman Filter
An implementation and application of Kalmann Filters with examples
May 12th Kalman filter-based tracker demonstration
Work related to my master's thesis project at Clemson University.
Tracking the ARTag and Imposing an Image on the tag
Tracking of moving Objects and correction.
Implementation of the linear Kalman filter for 2d tracking
Add a description, image, and links to the kalman-tracking topic page so that developers can more easily learn about it.
To associate your repository with the kalman-tracking topic, visit your repo's landing page and select "manage topics."