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Related Experiment Video

Updated: May 23, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Detecting carried objects from sequences of walking pedestrians.

Dima Damen1, David Hogg

  • 1Department of Computer Science, University of Bristol, Woodland Road, Bristol BS8 1UB, United Kingdom. damen@cs.bris.ac.uk

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 21, 2012
PubMed
Summary

This study introduces a novel method for detecting pedestrian-carried objects like backpacks using temporal templates and view-specific exemplars. The approach significantly improves detection accuracy on benchmark datasets.

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Area of Science:

  • Computer Vision
  • Pattern Recognition
  • Machine Learning

Background:

  • Pedestrian-carried object detection is crucial for surveillance and human-computer interaction.
  • Existing methods struggle with noise and variations in walking cycles.

Purpose of the Study:

  • To develop a robust method for detecting objects carried by pedestrians in video sequences.
  • To improve upon existing state-of-the-art methods for carried object detection.

Main Methods:

  • Generating temporal templates capturing motion and shape, robust to segmentation noise.
  • Comparing temporal templates against offline-generated exemplars of unencumbered pedestrians.
  • Utilizing a Markov random field for spatial continuity and MAP solution for segmentation.

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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Related Experiment Videos

Last Updated: May 23, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Main Results:

  • Demonstrated substantial performance improvement on the PETS2006 dataset compared to prior work.
  • Successfully tested on an additional outdoor dataset.
  • Outperformed previous state-of-the-art method [14] after reimplementation.

Conclusions:

  • The proposed method offers a significant advancement in detecting pedestrian-carried objects.
  • The technique shows potential for broader applications in detecting appearance irregularities in periodically moving objects.