Pedestrian tracking with an infrared sensor using road network information

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Date

2012-02-14

Author

Skoglar, Per
Orguner, Umut
Tornqvist, David
Gustafsson, Fredrik

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This article presents a pedestrian tracking methodology using an infrared sensor for surveillance applications. A distinctive feature of this study compared to the existing pedestrian tracking approaches is that the road network information is utilized for performance enhancement. A multiple model particle filter, which uses two different motion models, is designed for enabling the tracking of both road-constrained (on-road) and unconstrained (off-road) targets. The lateral position of the pedestrians on the walkways are taken into account by a specific on-road target model. The overall framework seamlessly integrates the negative information of occlusion events into the algorithm for which the required modifications are discussed. The resulting algorithm is illustrated on real data from a field trial for different scenarios.

Subject Keywords

Pedestrian tracking, Infrared sensor, Road network, Particle filter, Multiple model, Occlusion

URI

https://hdl.handle.net/11511/46399

Journal

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING

DOI

https://doi.org/10.1186/1687-6180-2012-26

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

P. Skoglar, U. Orguner, D. Tornqvist, and F. Gustafsson, “Pedestrian tracking with an infrared sensor using road network information,” EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, pp. 0–0, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46399.