Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
Pedestrian detection in uncontrolled environments using stereo and biometric information
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Robust pedestrian detection and tracking in crowded scenes
Image and Vision Computing
Stereo-based pedestrian detection for collision-avoidance applications
IEEE Transactions on Intelligent Transportation Systems
Event detection in pedestrian detection and tracking applications
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
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A method for pedestrian detection from real world outdoor scenes is presented in this paper. The technique uses disparity information, ground plane estimation and biometric information based on the golden ratio. It can detect pedestrians even in the presence of severe occlusion or a lack of reliable disparity data. It also makes reliable choices in ambiguous areas since the pedestrian regions are initiated using the disparity of head regions. These are usually highly textured and unoccluded, and therefore more reliable in a disparity image than homogeneous or occluded regions.