Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit.
Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by optimizing object detectors built on statistical machine learning methods. However, the pre-trained object detectors available today do not satisfy the increasing diversity of embedded vision system requirements.
This talk will teach you the basics of creating a robust and accurate object detector. Nehemiah covers the following topics:
- The importance of good training data sets
- The curse of dimensionality
- Overfitting (why too much training data is not a good thing), and
- How to select a classifier/detector based on the problem you are trying to solve.