Marco Jacobs, Vice President of Marketing at videantis, presents the "Implementing Histogram of Oriented Gradients on a Parallel Vision Processor" tutorial at the May 2014 Embedded Vision Summit.
Object detection in images is one of the core problems in computer vision. The Histogram of Oriented Gradients method (Dalal and Triggs 2005) is a key algorithm for object detection, and has been used in automotive, security and many other applications.
In this presentation, Jacobs gives an overview of the algorithm and show how it can be implemented in real-time on a high-performance, low-cost, and low-power parallel vision processor. He demonstrates the standard OpenCV based HOG with Linear SVM for Human/Pedestrian detection on VGA sequences in real-time. The SVM Vectors used are provided with OpenCV, learned from the Daimler Pedestrian Detection Benchmark Dataset and the INRIA Person Dataset.
