A path planning method for human tracking agents using variable-term prediction

Authors:
Noriko Takemura;Yutaka Nakamura;Yoshio Matsumoto;Hiroshi Ishiguro
Affiliations:
Osaka University;Osaka University;Advanced Industrial Science and Technology, Japan;Osaka University
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Year:
2010

Citing 2
Cited 0

Memory-Based Attention Control for Activity Recognition at a Subway Station

IEEE MultiMedia
Tracking Multiple Occluding People by Localizing on Multiple Scene Planes

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with a multi-agent path planning problem for tracking humans. Path of agents is planned based on the similarity between the prediction of the intensity of humans existing and the intensity of field of view of agents. Since the prediction is not always accurate, we proposed the an path planning method method where prediction length is varied based on the reliability of the prediction. We conducted computer simulation and results showed that our path planning method works well even under changing circumstances.