Tracking pedestrians with bacterial foraging optimization swarms | IEEE Conference Publication | IEEE Xplore

Tracking pedestrians with bacterial foraging optimization swarms


Abstract:

Pedestrian tracking is an important problem with many practical applications in fields such as security, animation, and human computer interaction (HCI). In this paper, w...Show More

Abstract:

Pedestrian tracking is an important problem with many practical applications in fields such as security, animation, and human computer interaction (HCI). In this paper, we introduce a previously-unexplored swarm intelligence approach to multi-object monocular tracking by using Bacterial Foraging Optimization (BFO) swarms to drive a novel part-based pedestrian appearance tracker. We show that tracking a pedestrian by segmenting the body into parts outperforms popular blob based methods and that using BFO can improve performance over traditional Particle Swarm Optimization and Particle Filter methods.
Date of Conference: 05-08 June 2011
Date Added to IEEE Xplore: 14 July 2011
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Conference Location: New Orleans, LA, USA

References

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