1![Rehder, Eike ; Kloeden, Horst ; Stiller, Christoph: Head Detection and Orientation Estimation for Pedestrian Safety. In: Proc. IEEE Int. Conf. Intelligent Transportation Systems, 2014, ppHead Detection and Or Rehder, Eike ; Kloeden, Horst ; Stiller, Christoph: Head Detection and Orientation Estimation for Pedestrian Safety. In: Proc. IEEE Int. Conf. Intelligent Transportation Systems, 2014, ppHead Detection and Or](https://www.pdfsearch.io/img/1f853d298889efb81547f8dcc75f3865.jpg) | Add to Reading ListSource URL: www.mrt.kit.eduLanguage: English - Date: 2015-02-09 07:31:01
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2![2011 18th IEEE International Conference on Image Processing CO-OCCURRENCE FLOW FOR PEDESTRIAN DETECTION Atsuto Maki1 1 2 2011 18th IEEE International Conference on Image Processing CO-OCCURRENCE FLOW FOR PEDESTRIAN DETECTION Atsuto Maki1 1 2](https://www.pdfsearch.io/img/093967aa290868855c870570c65adcf6.jpg) | Add to Reading ListSource URL: mi.eng.cam.ac.ukLanguage: English - Date: 2018-03-13 12:51:00
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3![Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala](https://www.pdfsearch.io/img/3df3743ef41baff568d83ac90bc27852.jpg) | Add to Reading ListSource URL: soumith.chLanguage: English - Date: 2017-07-06 15:04:07
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4![Computer Vision Approaches to Pedestrian Detection: Visible Spectrum Survey David Ger´ onimo, Antonio L´ opez, and Angel D. Sappa Computer Vision Center, Universitat Aut` Computer Vision Approaches to Pedestrian Detection: Visible Spectrum Survey David Ger´ onimo, Antonio L´ opez, and Angel D. Sappa Computer Vision Center, Universitat Aut`](https://www.pdfsearch.io/img/6a547a02798a016e881da704b00e03a3.jpg) | Add to Reading ListSource URL: www.cvc.uab.es- Date: 2007-04-24 04:16:01
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5![2015 IEEE Intelligent Vehicles Symposium (IV) June 28 - July 1, 2015. COEX, Seoul, Korea Pedestrian Detection Based on Deep Convolutional Neural Network with Ensemble Inference Network Hiroshi Fukui 2015 IEEE Intelligent Vehicles Symposium (IV) June 28 - July 1, 2015. COEX, Seoul, Korea Pedestrian Detection Based on Deep Convolutional Neural Network with Ensemble Inference Network Hiroshi Fukui](https://www.pdfsearch.io/img/66140599a6eb3d3f5ba47e4ce54f44e3.jpg) | Add to Reading ListSource URL: www.murase.m.is.nagoya-u.ac.jp- Date: 2015-07-03 08:04:45
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6![Vision Plus™ - the next generation in pedestrian detection aids for operators of powered industrial vehicles. Vision Plus™ provides the operator of mobile equipment with real-time information concerning the location
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7![An Exploration of Why and When Pedestrian Detection Fails Rakesh Nattoji Rajaram, Eshed Ohn-Bar, and Mohan M. Trivedi Laboratory for Intelligent and Safe Automobiles University of California, San Diego Abstract—This pa An Exploration of Why and When Pedestrian Detection Fails Rakesh Nattoji Rajaram, Eshed Ohn-Bar, and Mohan M. Trivedi Laboratory for Intelligent and Safe Automobiles University of California, San Diego Abstract—This pa](https://www.pdfsearch.io/img/0892e70ea002358880be3ec22932d03a.jpg) | Add to Reading ListSource URL: cvrr.ucsd.edu- Date: 2015-12-11 18:15:10
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8![Detector ensemble based on false positive mining for pedestrian detection Yuki SUZUKI, Daisuke DEGUCHI, Yasutomo KAWANISHI, Ichiro IDE, and Hiroshi MURASE, Nagoya University, Japan Purpose Detector ensemble based on false positive mining for pedestrian detection Yuki SUZUKI, Daisuke DEGUCHI, Yasutomo KAWANISHI, Ichiro IDE, and Hiroshi MURASE, Nagoya University, Japan Purpose](https://www.pdfsearch.io/img/75d0e91980ceea13a88890c50019a1c3.jpg) | Add to Reading ListSource URL: www.murase.m.is.nagoya-u.ac.jpLanguage: English - Date: 2015-12-10 00:38:27
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9![Combining Monocular and Stereo-Vision for Real-Time Vehicle Ranging and Tracking on Multilane Highways Combining Monocular and Stereo-Vision for Real-Time Vehicle Ranging and Tracking on Multilane Highways](https://www.pdfsearch.io/img/330ceacefdac35c16280f5a060afda8b.jpg) | Add to Reading ListSource URL: cvrr.ucsd.eduLanguage: English - Date: 2011-09-23 05:03:25
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