Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Asian Conference on Computer Vision

• Publication date

  2012-11-05

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-3-642-37431-9_6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• ETH Zurich

  2018cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• Real-time human pose recognition in parts from single depth images

  2011cited by this paper
• Robust tracking using local sparse appearance model and K-selection

  2011cited by this paper
• Hough-based tracking of non-rigid objects

  2011influential reference
• Superpixel tracking

  2011influential reference
• Real-time multi-person tracking with detector assisted structure propagation

  2011influential reference
• Nonlinear shape manifolds as shape priors in level set segmentation and tracking

  2011cited by this paper
• A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images

  2010cited by this paper
• Efficient Large-Scale Stereo Matching

  2010cited by this paper
• A real-time pedestrian detection system based on structure and appearance classification

  2010influential reference
• P-N learning: Bootstrapping binary classifiers by structural constraints

  2010cited by this paper
• Automatic detection and tracking of pedestrians from a moving stereo rig

  2010cited by this paper
• Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme

  2010cited by this paper
• Robust Multiperson Tracking from a Mobile Platform

  2009cited by this paper
• Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking

  2009cited by this paper
• Dynamic 3D Imaging

  2009cited by this paper
• Tracking Multiple Occluding People by Localizing on Multiple Scene Planes

  2009cited by this paper
• A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle

  2009influential reference
• A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques

  2008cited by this paper
• A Nonparametric Treatment for Location/Segmentation Based Visual Tracking

  2007cited by this paper
• Tracking as Repeated Figure/Ground Segmentation

  2007cited by this paper
• Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle

  2007cited by this paper
• Computer Vision – ECCV 2006

  2006cited by this paper
• Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering

  2006cited by this paper
• Dynamic Foreground/Background Extraction from Images and Videos using Random Patches

  2006cited by this paper
• Efficient Belief Propagation for Early Vision

  2004cited by this paper
• Fast, integrated person tracking and activity recognition with plan-view templates from a single stereo camera

  2004cited by this paper
• Mean Shift: A Robust Approach Toward Feature Space Analysis

  2002cited by this paper
• W4: Real-Time Surveillance of People and Their Activities

  2000cited by this paper
• Integrated Person Tracking Using Stereo, Color, and Pattern Detection

  1998cited by this paper

• Flexible depth segmentation method using phase-shifted wrapped phase sequences

  2019cites this paper
• A Comprehensive Survey on Multi Object Tracking Under Occlusion in Aerial Image Sequences

  2019cites this paper
• Illumination Invariant Motion Detection and Tracking Using SMDWT and a Dense Disparity-Variance Method

  2018cites this paper
• RGB-D Model Based Human Detection and Tracking Using 3D CCTV

  2018cites this paper
• Robust depth-based object tracking from a moving binocular camera

  2015cites this paper
• Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives

  2015cites this paper
• Stereo Context for Robust Object Tracking

  2014cites this paper
• Stereo object tracking with fusion of texture, color and disparity information

  2014cites this paper