Fine-Grained Walking Activity Recognition via Driving Recorder Dataset

Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh, Shoko Oikawa, Yasuhiro Matsui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The paper presents a fine-grained walking activity recognition toward an inferring pedestrian intention which is an important topic to predict and avoid a pedestrian's dangerous activity. The fine-grained activity recognition is to distinguish different activities between subtle changes such as walking with different directions. We believe a change of pedestrian's activity is significant to grab a pedestrian intention. However, the task is challenging since a couple of reasons, namely (i) in-vehicle mounted camera is always moving (ii) a pedestrian area is too small to capture a motion and shape features (iii) change of pedestrian activity (e.g. walking straight into turning) has only small feature difference. To tackle these problems, we apply vision-based approach in order to classify pedestrian activities. The dense trajectories (DT) method is employed for high-level recognition to capture a detailed difference. Moreover, we additionally extract detection-based region-of-interest (ROI) for higher performance in fine-grained activity recognition. Here, we evaluated our proposed approach on 'self-collected dataset' and 'near-miss driving recorder (DR) dataset' by dividing several activities-crossing, walking straight, turning, standing and riding a bicycle. Our proposal achieved 93.7% on the self-collected NTSEL traffic dataset and 77.9% on the near-miss DR dataset.

Original languageEnglish
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages620-625
Number of pages6
Volume2015-October
ISBN (Print)9781467365956, 9781467365956, 9781467365956, 9781467365956
DOIs
Publication statusPublished - 2015 Oct 30
Externally publishedYes
Event18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain
Duration: 2015 Sep 152015 Sep 18

Other

Other18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
CountrySpain
CityGran Canaria
Period15/9/1515/9/18

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ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Kataoka, H., Aoki, Y., Satoh, Y., Oikawa, S., & Matsui, Y. (2015). Fine-Grained Walking Activity Recognition via Driving Recorder Dataset. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (Vol. 2015-October, pp. 620-625). [7313199] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2015.107