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Innovative solutions for improving safety at pedestrian crossings

Czajewski W., Dąbkowski P., Olszewski P.

Archives of Transport System Telematics

2013

Vol. 6, iss. 2

16--22

Many pedestrians in Poland are killed or injured while crossing the road. This paper gives an overview of innovative solutions aimed at improving safety of pedestrian crossings: automatic pedestrian detection, dynamic traffic signs and better lighting systems. Among the pedestrian detection systems, video technology with image analysis seems to be the most promising solution for the future – its problems, recent developments and advantages are presented. Pedestrian detectors are already utilized by dynamic traffic signs which include pulsating lights mounted on “pedestrian crossing” signs, activated when pedestrians waiting to cross are detected.

A novel pedestrian detection method based on Cost-Sensitive Support Vector Machine and Chaotic Particle Swarm Optimization with T mutation

Zhang Y., Liu W.

Przegląd Elektrotechniczny

2012

R. 88, nr 1b

22-25

This paper presents a novel pedestrian detection method based on chaotic particle swarm optimization with T mutation (CTPSO) and cost-sensitive support vector machine (CS-SVM). In order to solve the problem of class-imbalanced in pedestrian detection, a new improve SVM named CS-SVM is proposed, which is based on the idea of assigning different weights to the errors of the two classes when the numbers of data samples from each class are imbalanced. In addition, a new type of PSO called CTPSO is used to select suitable parameters of CS-SVM, which could improve the classification ability of CS-SVM prominently. CTPSO is a novel optimization algorithm, which not only has strong global search capability but also helps to find the optimum quickly by using chaos queues and T mutation. The experiment carried out on videos from INRIA, MIT and Daimler datasets, result indicates that the effectiveness and efficiency of the proposed method, which can achieve higher accuracy than other three state of the art algorithms.

Przedstawiono nową metode detekcji pieszych bazującą na algorytmie mrówkowym z mutacją T oraz mechanizmie SVM. Zaproponowano nowy algorytm CS-SVM polegający na przyporządkowaniu różnych wag błędów w dwóch klasach kiedy liczba próbek w każdej klasie jest nierówna. Optimum znajdowane jest szybko przy wykorzystaniu mutacji T. Przeprowadzono eksperymenty bazujące na różnych bazach danych.