Two-Stage Part-Based Pedestrian Detection

Andreas Møgelmose, Antonio Prioletti, Mohan M. Trivedi, Alberto Broggi, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

17 Citations (Scopus)
628 Downloads (Pure)

Abstract

Detecting pedestrians is still a challenging task for automotive vision system
due the extreme variability of targets, lighting conditions, occlusions, and
high speed vehicle motion. A lot of research has been focused on this problem
in the last 10 years and detectors based on classifiers has gained a special
place among the different approaches presented. This work presents a
state-of-the-art pedestrian detection system based on a two stages classifier.
Candidates are extracted with a Haar cascade classifier trained with the
DaimlerDB dataset and then validated through part-based HOG classifier with the aim of lowering the number of false positives. The surviving candidates
are then filtered with a feature-based tracking to enhance the recognition robustness and improve the results' stability. The system has been implemented on a prototype vehicle and offers high performance in terms of
several metrics, such as detection rate, false positives per hour, and frame
rate. The novelty of this system rely in the combination of HOG part-based approach, tracking based on specific optimized feature and porting on a real prototype.
Original languageEnglish
Title of host publication15th International Conference on Intelligent Transportation Systems
PublisherIEEE
Publication date16 Sep 2012
Pages73 - 77
ISBN (Print)978-1-4673-3064-0
DOIs
Publication statusPublished - 16 Sep 2012
EventIntelligent Transportation Systems Conference - Anchorage, United States
Duration: 16 Sep 201219 Sep 2012
Conference number: 15

Conference

ConferenceIntelligent Transportation Systems Conference
Number15
CountryUnited States
CityAnchorage
Period16/09/201219/09/2012

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Classifiers
Lighting
Detectors

Cite this

Møgelmose, A., Prioletti, A., Trivedi, M. M., Broggi, A., & Moeslund, T. B. (2012). Two-Stage Part-Based Pedestrian Detection. In 15th International Conference on Intelligent Transportation Systems (pp. 73 - 77). IEEE. https://doi.org/10.1109/ITSC.2012.6338898
Møgelmose, Andreas ; Prioletti, Antonio ; Trivedi, Mohan M. ; Broggi, Alberto ; Moeslund, Thomas B. / Two-Stage Part-Based Pedestrian Detection. 15th International Conference on Intelligent Transportation Systems. IEEE, 2012. pp. 73 - 77
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Møgelmose, A, Prioletti, A, Trivedi, MM, Broggi, A & Moeslund, TB 2012, Two-Stage Part-Based Pedestrian Detection. in 15th International Conference on Intelligent Transportation Systems. IEEE, pp. 73 - 77, Intelligent Transportation Systems Conference, Anchorage, United States, 16/09/2012. https://doi.org/10.1109/ITSC.2012.6338898

Two-Stage Part-Based Pedestrian Detection. / Møgelmose, Andreas; Prioletti, Antonio; Trivedi, Mohan M.; Broggi, Alberto; Moeslund, Thomas B.

15th International Conference on Intelligent Transportation Systems. IEEE, 2012. p. 73 - 77.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Broggi, Alberto

AU - Moeslund, Thomas B.

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Møgelmose A, Prioletti A, Trivedi MM, Broggi A, Moeslund TB. Two-Stage Part-Based Pedestrian Detection. In 15th International Conference on Intelligent Transportation Systems. IEEE. 2012. p. 73 - 77 https://doi.org/10.1109/ITSC.2012.6338898