University of Sussex
C - Richoz - Human and Machine Recognition of Transportation Modes from Body-Worn Camera Images (Accepted, ABC, 2019).pdf (2.23 MB)

Human and machine recognition of transportation modes from body-worn camera images

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conference contribution
posted on 2023-06-07, 06:35 authored by Sebastien Richoz, Mathias Ciliberto, Lin Wang, Phil BirchPhil Birch, Hristijan GjoreskiHristijan Gjoreski, Andres Perez-Uribe, Daniel RoggenDaniel Roggen
Computer vision techniques applied on images opportunistically captured from body-worn cameras or mobile phones offer tremendous potential for vision-based context awareness. In this paper, we evaluate the potential to recognise the modes of locomotion and transportation of mobile users, by analysing single images captured by body-worn cameras. We evaluate this with the publicly available Sussex-Huawei Locomotion and Transportation Dataset, which includes 8 transportation and locomotion modes performed over 7 months by 3 users. We present a baseline performance obtained through crowd sourcing using Amazon Mechanical Turk. Humans infered the correct modes of transportations from images with an F1-score of 52%. The performance obtained by five state-of-the-art Deep Neural Networks (VGG16, VGG19, ResNet50, MobileNet and DenseNet169) on the same task was always above 71.3% F1-score. We characterise the effect of partitioning the training data to fine-tune different number of blocks of the deep networks and provide recommendations for mobile implementations.


Publication status

  • Published

File Version

  • Accepted version


International Conference on Activity and Behavior Computing


Institute of Electrical and Electronics Engineers



Page range


Event name

International Conference on Activity and Behavior Computing

Event location

Spokane, Eastern Washington University, USA

Event type


Event date

May. 30 - Jun. 2, 2019

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • Yes

Peer reviewed?

  • Yes


Sozo Inoue, Atiqur Rahman Ahad

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First Open Access (FOA) Date


First Compliant Deposit (FCD) Date


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