Abstract

In this paper, we detail the hardware and software perception system designed and developed to track pedestrians using a set of offboard cameras. It has been used in the context of vulnerable safety in a car park. This architecture is divided in two parts: a fusion part to fusion the data given by the set of offboard cameras and a tracking part to sequentially estimate the position of each pedestrian present in the environment and to determine the number of pedestrians. Finally, some experimental results are presented

Keywords:
Computer science Computer vision Pedestrian Context (archaeology) Artificial intelligence Tracking (education) Sensor fusion Set (abstract data type) Track (disk drive) Software Position (finance) Geography Engineering Transport engineering

Metrics

5
Cited By
0.60
FWCI (Field Weighted Citation Impact)
14
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Autonomous Vehicle Technology and Safety
Physical Sciences →  Engineering →  Automotive Engineering
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