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Superpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios.

, and . VISIGRAPP (4: VISAPP), page 501-508. SciTePress, (2016)

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Modeling the behavior of large scale reasoning systems using clustering and regression., , , , and . ICCP, page 163-169. IEEE, (2011)Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors., , , , and . ICCP, page 385-392. IEEE, (2015)Super-sensor for 360-degree environment perception: Point cloud segmentation using image features., , , , and . ITSC, page 1-8. IEEE, (2017)Multi-feature Real Time Pedestrian Detection from Dense Stereo SORT-SGM Reconstructed Urban Traffic Scenarios., and . VISAPP (2), page 131-142. SciTePress, (2014)Shape improvement of traffic pedestrian hypotheses by means of stereo-vision and superpixels., , and . ICCP, page 217-222. IEEE, (2015)Height restriction barriers detection from traffic scenarios using stereo-vision., , and . ICCP, page 209-215. IEEE, (2015)Superpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios., and . VISIGRAPP (4: VISAPP), page 501-508. SciTePress, (2016)Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information., and . ITSC, page 1662-1668. IEEE, (2014)Body gesture validation using multi-dimensional dynamic time warping on Kinect data., , and . ICCP, page 301-307. IEEE, (2015)Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes., and . ICCVG, volume 5337 of Lecture Notes in Computer Science, page 154-163. Springer, (2008)