Parameter optimization for visual obstacle detection using a derandomized evolution strategy
Imaging and vision systems
Sensor-Based Pedestrian Protection
IEEE Intelligent Systems
Pedestrian Detection via Periodic Motion Analysis
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Pedestrian recognition with false positive detection by model-based tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
A pedestrian detection system using applied log-Gabor
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Mixtures of Classifiers for Recognizing Standing and Running Pedestrians
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Pedestrian recognition with false positive detection by model-based tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
GVE '07 Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering
A new approach to urban pedestrian detection for automatic braking
IEEE Transactions on Intelligent Transportation Systems
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Pedestrian validation in infrared images by means of active contours and neural networks
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Sensor fusion based obstacle detection/classification for active pedestrian protection system
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
The study of the detection and tracking of moving pedestrian using monocular-vision
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Computer vision application: real time smart traffic light
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
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In previous years, many methods providing the ability to recognize rigid obstacles-sedans and trucks-have been developed. These methods provide the driver with relevant information. They are able to cope reliably with scenarios on motorways. Nevertheless, not much attention has been given to image processing approaches to increase the safety of pedestrians in urban environments. In the paper, a method for the detection, tracking, and final recognition of pedestrians crossing the moving observer's trajectory is suggested. A combination of data- and model-driven approaches is realized. The initial detection process is based on a fusion of texture analysis, model-based grouping of, most likely, the geometric features of pedestrians, and inverse-perspective mapping (binocular vision). Additionally, motion patterns of limb movements are analyzed to determine initial object-hypotheses. The tracking of the quasirigid part of the body is performed by different algorithms that have been successfully employed for the tracking of sedans, trucks, motorbikes, and pedestrians. The final classification is obtained by a temporal analysis of the walking process