Publication detail

Dataset generator for face detector training

GOLDMANN, T. ORSÁG, F. DRAHANSKÝ, M.

Original Title

Dataset generator for face detector training

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Many classification algorithms depend on a training dataset to be able to find appropriate parameters. The training dataset can significantly affect the resulting quality of the classifier hence it is necessary to use as good dataset for given task as possible. Either there already is an available ready-to-use dataset or a new one must be created. It is rather tedious and time consuming process to create a~new dataset from scratch because many algorithms usually require a large amount of tagged data. For many specific tasks the only way is to create a new dataset simply because there are no sets available. For the purposes of training and testing face detection algorithms we created a generator producing large number of images containing human head in various poses and positions placed in a predefined background. We are using such datasets to test success rate of head detection algorithms in dependence on the rotation of the head. Based on the test results we designed a tool to classify suitability of a security camera placement based on its parameters and space it should watch.

Keywords

identification, head pose, anthropometry

Authors

GOLDMANN, T.; ORSÁG, F.; DRAHANSKÝ, M.

Released

4. 6. 2018

Location

Hersonissos

Pages from

1

Pages to

8

Pages count

8

BibTex

@inproceedings{BUT168457,
  author="Tomáš {Goldmann} and Filip {Orság} and Martin {Drahanský}",
  title="Dataset generator for face detector training",
  booktitle="Proceedings 2019 International Conference on Biometrics",
  year="2018",
  pages="1--8",
  address="Hersonissos"
}