Showing category results for Machine Learning

Findings from a pilot project where we identified reusable patterns, and ways to avoid common pitfalls when implementing object detection and tracking in Windows apps.

Computer vision is used in various industries to process camera data as part of an analytics pipeline. This post introduces a reusable pattern and set of algorithms for extracting objects of interest from depth camera data.

With the arrival of commodity depth-capable cameras, specifically, the Microsoft Kinect, as well as high-performance machine learning algorithms, entirely new capabilities are made possible. Working with academic experts and others, we are attempting to track the movements, body language, and vocalizations of dogs.

In this post, you'll see how we helped a startup to extract structured data from images - using Project Oxford's image recognition.