Pedestrian detection

Results: 96



#Item
1Rehder, 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

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Source URL: www.mrt.kit.edu

Language: English - Date: 2015-02-09 07:31:01
    22011 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

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    Source URL: mi.eng.cam.ac.uk

    Language: English - Date: 2018-03-13 12:51:00
      3Pedestrian 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

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      Source URL: soumith.ch

      Language: English - Date: 2017-07-06 15:04:07
        4Computer 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`

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        Source URL: www.cvc.uab.es

        - Date: 2007-04-24 04:16:01
          52015 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

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          Source URL: www.murase.m.is.nagoya-u.ac.jp

          - Date: 2015-07-03 08:04:45
            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

            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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            Source URL: taylormachineworks.com

            - Date: 2015-08-19 16:41:09
              7An 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

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              Source URL: cvrr.ucsd.edu

              - Date: 2015-12-11 18:15:10
                8Detector 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

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                Source URL: www.murase.m.is.nagoya-u.ac.jp

                Language: English - Date: 2015-12-10 00:38:27
                9Combining 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

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                Source URL: cvrr.ucsd.edu

                Language: English - Date: 2011-09-23 05:03:25