A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Detection and Recognition of Periodic, Nonrigid Motion
International Journal of Computer Vision
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection from a Moving Vehicle
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Dressed human modeling, detection, and parts localization
Dressed human modeling, detection, and parts localization
Stereo Vision-based approaches for Pedestrian Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Pedestrian detection by means of far-infrared stereo vision
Computer Vision and Image Understanding
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
Walking pedestrian recognition
IEEE Transactions on Intelligent Transportation Systems
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This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of amore complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared and daylight domains. The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network. The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes.