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Conference papers
Accurate Football Detection and Localization for Nao Robot with the Improved HOG-SVM Approach
Zejun Bi
Author
Qi Yang
Author
Mengyi Zhang
Author
Alban Goupil 1
Mail :
Author IdHAL : alban-goupil ORCID : https://orcid.org/0000-0003-4308-9968
Lihang Feng
Author
1
CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)
- URCA - Université de Reims Champagne-Ardenne : EA 3804 (9 boulevard de la Paix - CS 60005 - 51724 Reims cedex - France)
Document type :
Conference papers
Complete list of metadatas
https://hal.univ-reims.fr/hal-02088557
Contributor : Alban Goupil <>
Submitted on : Wednesday, April 3, 2019 - 8:31:47 AM
Last modification on : Friday, March 27, 2020 - 10:22:09 PM
Contributor : Alban Goupil <>
Submitted on : Wednesday, April 3, 2019 - 8:31:47 AM
Last modification on : Friday, March 27, 2020 - 10:22:09 PM
Identifiers
- HAL Id : hal-02088557, version 1
- DOI : 10.1109/CAC.2018.8623727
Citation
Zejun Bi, Qi Yang, Mengyi Zhang, Alban Goupil, Lihang Feng. Accurate Football Detection and Localization for Nao Robot with the Improved HOG-SVM Approach. 2018 Chinese Automation Congress (CAC), Nov 2018, Xi'an, France. pp.567-571, ⟨10.1109/CAC.2018.8623727⟩. ⟨hal-02088557⟩
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