Rotation invariant tracking algorithm based on circular HOGs

Daniel Miramontes-Jaramillo, Vitaly Kober, Víctor Hugo Díaz-Ramírez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Tracking of 3Dobjects based on video information has become an important problem in the last years. We present a tracking algorithm based on rotation-invariant HOGs over a data structure of circular windows. The algorithm is also robust to geometrical distortions. The performance of the algorithm achieves a perfect score in terms of objective metrics for real-time tracking using multicore processing with GPUs.

Original languageEnglish
Title of host publicationPattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
EditorsJosé Arturo Olvera López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Fazel Famili, Juan Humberto Sossa-Azuela
PublisherSpringer Verlag
Pages115-124
Number of pages10
ISBN (Electronic)9783319192635
DOIs
StatePublished - 2015
Event7th Mexican Conference on Pattern Recognition, MCPR 2015 - Mexico City, Mexico
Duration: 24 Jun 201527 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9116
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Mexican Conference on Pattern Recognition, MCPR 2015
Country/TerritoryMexico
CityMexico City
Period24/06/1527/06/15

Keywords

  • Circular Window
  • Histogram of oriented gradients
  • Tracking

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