| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
C. Wohler and J. Aulanf and T. Portner and U. Franke
ABSTRACT
In this paper we present an algorithm for recognizing walking pedestrians in sequences of grayscale stereo images taken from a moving camera pair. The method has been designed for use in a driver assistance system for the inner cityenvironmentwarning the car driver of tra#c participants that might cause dangerous situations. Our algorithm is divided into two parts: First, a preliminary detection and tracking stage consisting of a real-time stereo algorithm yields image regions possibly containing a pedestrian. During the subsequent classi#cation stage, these temporal sequences of regions of interest are classi#ed by a feed-forward time delay neural network #TDNN# with spatio-temporal receptive #elds. It is possible to stabilize the recognition process byintegrating feedback loops into the TDNN architecture. The complete detection and recognition algorithm runs at a speed of about 70 ms per cycle on a Power PC 604e. |
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