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Evaluation of a "Smart" Pedestrian Counting System Based on Echo State Networks

  • We have designed an inexpensive intelligent pedestrian counting system. The pedestrian counting system consists of several counters that can be connected together in a distributed fashion and communicate over the wireless channel. The motion pattern is recorded using a set of passive infrared (PIR) sensors. Each counter has one wireless sensor node that processes the PIR sensor data and transmits it to a base station. Then echo state network, a special kind of recurrent neural network, is used to predict the pedestrian count from the input pattern. The evaluation of the performance of such networks in a novel kind of application is one focus of this work. The counter gave a performance of 80.4% which is better than the commercially available low-priced pedestrian counters. The article reports the experiments we did for analyzing the counterperformance and lists the strengths and limitations of the current implementation. It will also report the preliminary test results obtained by substituting the PIR sensors with low-cost active IR distance sensors which can improve the counter performance further.

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Document Type:Article
Author:Emi Mathews, Axel Poigné
Parent Title (English):EURASIP Journal on Embedded Systems
Article Number:352172
Number of pages:9
Publisher:Hindawi Publishing
Place of publication:New York, NY
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2009/03/12
Copyright:© 2009 E. Mathews and A. Poigne. This is an open access article distributed under the Creative Commons Attribution License.
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2020/09/18
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 3.0