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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:

  1. The importance of good training data sets
  2. The curse of dimensionality
  3. Overfitting (why too much training data is not a good thing), and
  4. How to select a classifier/detector based on the problem you are trying to solve.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
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