Full text: Proceedings (Part B3b-2)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bib. Beijing 2008 
667 
• Calculation of x”, y” image coordinates for the PTZ- 
camera with the collinearity equation and initial 
exterior orientation parameters. 
• Calculation of rotation angles a and p with 
a = atan(x”/ c) and P = atan(y” /c). 
plane. 
3.4 Analysis of high-resolution images 
The high-resolution images are stored with time and position 
stamps. A unique assignment of the attributes to the trajectories 
is feasible, because of the observation of stand-alone 
pedestrians. Since there is no automatic classification 
implemented up to now, the pedestrians are interactively 
classified by a human operator. 
4. OUTLOOK 
The two-camera system presented in this work is an essential 
component for the assessment of the quality of shop-locations 
in inner cities, since it delivers both the trajectories of the 
pedestrians and information about additional attributes. So far, 
the project is just in its starting phase. Actual investigations 
concentrate on the improvement of speed and accuracy of the 
control for the exterior orientation and on the zoom-control of 
the PTZ-camera. This will improve the reliability of the 
assignment of the classified pedestrians to their trajectories. 
Furthermore the choice of a person from a number of detected 
individuals up to now is arbitrary. A knowledge-based camera 
control system will ensure the single acquisition of each 
individual or the multiple acquisition of the same person if 
wanted. 
Future work will investigate the opportunity for automatic 
classification of the pedestrians in the high-resolution images. 
For this purpose different classifiers (e.g., AdaBoost, SVM) 
will be evaluated. A training data set is gained by acquisition of 
the high-resolution images. 
The integration of a complete 3D-model of the scene allows an 
improved modelling of the behaviour of pedestrians at obstacles 
or in case of occlusions. Moreover motion models that specify 
the probability for a change in direction or speed at certain 
position will be integrated. 
ACKNOWLEDGEMENT 
Part of the work presented here was carried out in a student 
research project by (in alphabetical order): Jonas Bostelmann, 
Steven Piorun, Falko Schindler, Axel Schnitger, Aiko Sukdolak, 
Martin Wiedeking, 
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