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Abstrakty
The aim of the presented work is the development of a natural scene visual analysis system for a travel assistance tool for the visually impaired. The purpose of such a system is the creation of a simplified scene description, suitable for auditory presentation. System under development is intended to aid a blind user in avoiding obstacles in a typical urban environment. A Bayesian classifier is utilised for object detection and tracking in a stereoscopic image sequence captured from a pair of head mounted cameras. The obtained results show the method's potential to track objects with complicated shapes solely on the basis of their visual features. Scene depth, represented in the classifier by the image disparity, plays an essential role in identifying objects in textured image areas. Lack of a texture does not allow for reliable disparity estimation, lowering classification performance. The author combines colour, disparity and pixel coordinates to produce a feature vector for an image classifier. The proposed classifier update technique allows for object tracking in an image sequence of a dynamic scene.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
13--21
Opis fizyczny
Bibliogr. 6 poz., rys.
Twórcy
autor
- Institute of Electronics, Technical University of Lodz, Poland, pawel.pelczynski@p.lodz.pl
Bibliografia
- [1] N. Bourbakis, Sensing Surrounding 3-D Space for Navigation of the Blind, IEEE Engineering in Medicine and Biology Magazine, January/February pp.49-55
- [2] A. S. Bregman, Auditory scene analysis. The perceptual organization of sound, MIT Press, Cambridge Mass
- [3] P. Strumillo, P. Pelczynski, M. Pec, Space perception by means of acoustic images: an electronic travel aid for the Blind, 33rd IAC - ACOUSTICS High Tatras 2006 Symposium
- [4] M. Z. Brown, D. Burschka, G. D. Hager, Advances in computational stereo, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, No 8, pp. 993-1008, 2003
- [5] S. Khan S, M. Shah, Object Based Segmentation of Video Using Color, Motion and Spatial Information, Conference on Computer Vision and Pattern Recognition, 2001, Volume: 2, pp: 11-746-11-751
- [6] P. Pelczynski, Detection and Tracking of 3D Objects in a Stereovision Based Travel Aid System for the Blind, Published in Book: Image Processing & Communications Challenges, Ed. Ryszard S. Choraś and Antoni Zabłudowski, Academy Publishing House EXIT, Warsaw 2009, pp. 309-316.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0045-0002