Head detection using motion features and multi level pyramid architecture

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Computer Vision and Image Understanding

• Publication date

  2015-08-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.cviu.2015.04.007
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A tensor motion descriptor based on histograms of gradients and optical flow

  2014cited by this paper
• Efficient Classification for Additive Kernel SVMs

  2013cited by this paper
• Kernel Learning for Extrinsic Classification of Manifold Features

  2013cited by this paper
• Exploring Weak Stabilization for Motion Feature Extraction

  2013cited by this paper
• Detecting People Looking at Each Other in Videos

  2013cited by this paper
• Human head detection using Histograms of Oriented optical flow in low quality videos with occlusion

  2013cited by this paper
• Evaluating New Variants of Motion Interchange Patterns

  2013cited by this paper
• Machine learning - a probabilistic perspective

  2012cited by this paper
• Pedestrian Detection: An Evaluation of the State of the Art

  2012cited by this paper
• Efficient Additive Kernels via Explicit Feature Maps

  2012cited by this paper
• Action recognition by dense trajectories

  2011cited by this paper
• Co-occurrence flow for pedestrian detection

  2011cited by this paper
• Density-aware person detection and tracking in crowds

  2011cited by this paper
• Learning parameterized histogram kernels on the simplex manifold for image and action classification

  2011cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• Large-scale image categorization with explicit data embedding

  2010cited by this paper
• Robust Head-Shoulder Detection by PCA-Based Multilevel HOG-LBP Detector for People Counting

  2010cited by this paper
• Object Detection with Discriminatively Trained Part Based Models

  2010cited by this paper
• Multiresolution Models for Object Detection

  2010cited by this paper
• New features and insights for pedestrian detection

  2010cited by this paper
• Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions

  2009cited by this paper
• Rapid and robust human detection and tracking based on omega-shape features

  2009cited by this paper
• Integral Channel Features

  2009cited by this paper
• Multi-cue onboard pedestrian detection

  2009cited by this paper
• Crowd analysis: a survey

  2008cited by this paper
• Classification using intersection kernel support vector machines is efficient

  2008cited by this paper
• Pedestrian Detection via Classification on Riemannian Manifolds

  2008cited by this paper
• Learning realistic human actions from movies

  2008cited by this paper
• Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection

  2008cited by this paper
• Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection

  2008cited by this paper
• ’ Histograms of Oriented Gradients for Human Detection ’ versus ’ Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

  2007cited by this paper
• Detecting Pedestrians by Learning Shapelet Features

  2007cited by this paper
• Kernel Methods in Bioengineering, Signal And Image Processing

  2007cited by this paper
• Human Detection Using Oriented Histograms of Flow and Appearance

  2006cited by this paper
• Optical Flow Estimation

  2006cited by this paper
• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

  2006cited by this paper
• Histograms of oriented gradients for human detection

  2005cited by this paper
• Object categorization via local kernels

  2004cited by this paper
• Bhattacharyya Expected Likelihood Kernels

  2003cited by this paper
• A Kernel Between Sets of Vectors

  2003cited by this paper
• Tracking Groups of People

  2000cited by this paper
• Support vector machines for histogram-based image classification

  1999cited by this paper
• A Tutorial on Support Vector Machines for Pattern Recognition

  1998cited by this paper
• ECOLE POLYTECHNIQUE

  1994cited by this paper
• Determining Optical Flow

  1981cited by this paper

• Efficient People Detection with Infrared Images

  2024cites this paper
• An improved fuzzy ARTMAP and Q-learning agent model for pattern classification

  2019cites this paper
• Fusion of Modern and Tradition: A Multi-stage-Based Deep Network Approach for Head Detection

  2018cites this paper
• Detecting People from Beach Images

  2017cites this paper