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International Conference on Augmented Reality, Virtual Reality and Computer Graphics

AVR 2017: Augmented Reality, Virtual Reality, and Computer Graphics pp 501–510Cite as

Cascade Classifiers and Saliency Maps Based People Detection

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10325))

Abstract

In this paper, we propose algorithm and dataset for pedestrian detection focused on HCI and Augmented Reality applications. We combine cascade classifiers with saliency maps for improving the performance of the detectors. We train a HAAR-LBP and HOG cascade classifier and introduce CICTE_PeopleDetection dataset with images from surveillance cameras at different angles and altitudes. Our algorithm performance is compared with other approaches from the state of art. In the results, we can see that cascade classifiers with saliency maps improve the performance of pedestrian detection due to the rejection of false positives in the image.

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Acknowledgement

This work is part of the projects VisualNavDrone 2016-PIC-024 and MultiNavCar 2016-PIC-025, from the Universidad de las Fuerzas Armadas ESPE, directed by Dr. Wilbert G. Aguilar.

Author information

Authors and Affiliations

  1. Dep. Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Wilbert G. Aguilar, Hugo Ruiz & Humberto Parra

  2. Dep. Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Marco A. Luna & Julio F. Moya

  3. CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Wilbert G. Aguilar & William Lopez

  4. GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain

    Wilbert G. Aguilar

  5. Universitat de Barcelona, Barcelona, Spain

    Vanessa Abad

  6. PLM Research Center, Purdue University, IN, West Lafayette, USA

    Hugo Ruiz

  7. Universidad Politécnica de Madrid, Madrid, Spain

    Humberto Parra

Authors
  1. Wilbert G. Aguilar
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  2. Marco A. Luna
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  3. Julio F. Moya
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  4. Vanessa Abad
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  5. Hugo Ruiz
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  6. Humberto Parra
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  7. William Lopez
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Corresponding author

Correspondence to Wilbert G. Aguilar .

Editor information

Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

  3. University of Salento, Lecce, Italy

    Antonio Mongelli

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Aguilar, W.G. et al. (2017). Cascade Classifiers and Saliency Maps Based People Detection. In: De Paolis, L., Bourdot, P., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science(), vol 10325. Springer, Cham. https://doi.org/10.1007/978-3-319-60928-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-60928-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60927-0

  • Online ISBN: 978-3-319-60928-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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