TOBCAT: Industrial Applications of Object Categorization
Object detection is already wildly spread in industrial applications as far as the appearance of the object is fixed (size, shape, color,... ). Using simple image processing techniques like pixel value thresholding and pattern matching, known objects can be recognized in real time in 2D images.
However, in some industrial applications, the appearance of an object can vary a lot within one object class, making it much harder for these simple techniques to detect an actual object in an image. Examples of such objects are fruits and vegetables, pedestrians, animals and microscopic cells. The need for more global detection techniques is large. These should be able to detect a class of objects rather than a single object based on class characteristics. Object categorization techniques are ideal to cope with this intra-class variability of objects.
The goal of this TETRA research project is to examine, implement and optimize these new state-of-the-art object categorization techniques (Viola & Jones, Felzenswalb) in order to provide a solution for practical and realistic industrial problems. A second goal is to provide ready-to-use techniques, making it possible for industrial partners to implement these techniques themselves. Following this idea, an interface with two major computer vision libraries (Halcon, OpenCV) will be provided.
This project was organised with 3 academic partners:
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KULeuven – Campus De Nayer – EAVISE Toon Goedeme – toon.goedeme[at]lessius.eu Website: http://www.eavise.be/ |
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KU Leuven - Campus Geel – Mobilab (now known as AdVise) |
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UHasselt – IMOB Stijn Daniels – stijn.daniels[at]uhasselt.be Website: http://www.uhasselt.be/imob/ |
Contact: Steven Puttemans | steven.puttemans[at]kuleuven.be
Software, presentations and other project content: https://gitlab.com/EAVISE/IWT_TETRA_TOBCAT
AAA Vision Symposium 2014
- USB content, with all project results: https://gitlab.com/EAVISE/2014_AAA_Vision_Symposium
- Slidely show with images of the symposium: click here
Hands-on workshops on object detection: the flyer below gives an idea on the content. If you are interested in this workshop, do not hesitate to ask us for more information!
