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Pedestrian detection for driving assistance systems: Single frame classification and system level performance
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A real time object detection approach applied to reliable pedestrian detection
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Detection and tracking of multiple pedestrians in automotive applications
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Arndt, R.1
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33846638203
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Multi-cue pedestrian detection and tracking from a moving vehicle
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Gavrila, D.M.1
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34948903294
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Dynamic 3D scene analysis from a moving vehicle
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Pedestrian detection using SVM and multi-feature combination
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A pedestrian detector using histograms of oriented gradients and a support vector machine classifier
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Pedestrian detection and classification based on 2D and 3D information for driving assistance systems
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Tomiuc, C., Nedevschi, S., and Meinecke, M. M., "Pedestrian detection and classification based on 2D and 3D information for driving assistance systems", Proc. IEEE Intelligent Computer Communication and Processing Conference (2007).
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Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner
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Multi-sensor detection and tracking of humans for safe operations with unmanned ground vehicles
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Thornton, S. M., Hoffelder, M., and Morris, D. D., "Multi-sensor detection and tracking of humans for safe operations with unmanned ground vehicles", Proc. Workshop on Human Detection from Mobile Platforms, IEEE International Conference on Robotics and Automation (2008).
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LADAR-based pedestrian detection and tracking
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Detecting pedestrians with stereo vision: Safe operation of autonomous ground vehicles in dynamic environments
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Howard, A., Matthies, L. H., Huertas, A., Bajracharya, M., and Rankin, A., "Detecting pedestrians with stereo vision: safe operation of autonomous ground vehicles in dynamic environments", Proc. International Symposium of Robotics Research (2007).
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Real-time human detection and tracking from mobile vehicles
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Abd-Almageed, W.1
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Detecting pedestrians using patterns of motion and appearance
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Segmentation and tracking of multiple humans in crowded environments
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to appear
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IEEE Trans. Pattern Analysis and Machine Intelligence
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Human detection via classification on Riemannian manifolds
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Towards robust pedestrian detection in crowded image sequences
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