Lectures related to Multi-Object Tracking and Person Re-Identification

Computer Vision Basics: Image Processing and Feature Detection

Covers the basics of computer vision, focusing on image processing techniques and feature detection.

Delineation: Techniques and Applications

Explores techniques for delineation, including Hough transform, gradient orientation, and shape detection, emphasizing the importance of combining graph-based techniques and machine learning.

Detecting Objects: Independent Channels

Emphasizes the need for independent channels when detecting objects in images.

Proper Feature Size: Image Analysis

Delves into choosing a proper feature size for image analysis in life sciences, presenting a Rule Of Thumb for defining object size in pixels.

Convolutional Neural Networks

Introduces Convolutional Neural Networks (CNNs) for autonomous vehicles, covering architecture, applications, and regularization techniques.

Greyscale, Color and Special Images

Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.