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Publication Detailed Description
2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)
Year (definitive publication)
2023
Language
English
Country
United States of America
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Abstract
This paper proposes an occlusion-aware mechanism, used on a framework for detecting and tracking pedestrians in videos acquired from surveillance cameras, which includes the extraction of trajectory points, estimation of walking velocities, detection of groups, and projection of the final trajectories into a 2D plan. The occlusion-aware mechanism is introduced in order to manage irregularities in the pedestrian trajectory data derived from occlusions. This mechanism is able to identify the parts of the human body that are occluded, using skeleton data generated by human pose estimation algorithms, and adjust the dimensions of the bounding boxes of the occluded pedestrians.
Acknowledgements
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Keywords
Object detection,Multi-object tracking,Trajectory extraction,Pose estimation,Computer vision,Deep learning
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| LISBOA-01-0247-FEDER-04715 | P2020 projec |
| UIDB/04466/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
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