Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

  title={Spatiotemporal Stacked Sequential Learning for Pedestrian Detection},
  author={Alejandro Gonz{\'a}lez and David V{\'a}zquez and Sebastian Ramos and A. M. L{\'o}pez and J. Amores},
  • Alejandro González, David Vázquez, +2 authors J. Amores
  • Published 2015
  • Computer Science
  • ArXiv
  • Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to appear close to the same location in neighbor frames. Therefore, such a location has chances of… CONTINUE READING
    11 Citations
    Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison
    • 100
    • PDF
    Training my car to see using virtual worlds
    • 8
    Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database
    • 12
    • PDF
    New learning paradigms for real-world environment perception
    • 1
    • PDF
    An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification
    • 1
    • PDF
    Pixel-Level and Robust Vibration Source Sensing in High-Frame-Rate Video Analysis
    • 14
    • PDF


    Contextual boost for pedestrian detection
    • Yuanyuan Ding, J. Xiao
    • Computer Science
    • 2012 IEEE Conference on Computer Vision and Pattern Recognition
    • 2012
    • 75
    • PDF
    Random Forests of Local Experts for Pedestrian Detection
    • 121
    • PDF
    Virtual and Real World Adaptation for Pedestrian Detection
    • 157
    • PDF
    A Multilevel Mixture-of-Experts Framework for Pedestrian Classification
    • 146
    • PDF
    New features and insights for pedestrian detection
    • 482
    • Highly Influential
    • PDF
    Multi-cue onboard pedestrian detection
    • 133
    • PDF
    Multi-cue onboard pedestrian detection
    • 255
    • PDF
    On Exploration of Classifier Ensemble Synergism in Pedestrian Detection
    • 63
    Occlusion Handling via Random Subspace Classifiers for Human Detection
    • 47
    • PDF
    A mixed generative-discriminative framework for pedestrian classification
    • M. Enzweiler, D. Gavrila
    • Mathematics, Computer Science
    • 2008 IEEE Conference on Computer Vision and Pattern Recognition
    • 2008
    • 106
    • PDF