high performance computing on graphics processing units: hgpu.org

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Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

Jairo R. Sanchez, Hugo Alvarez, Diego Borro

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Real-time graphics, Video tracking

May 27, 2011 by hgpu

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

J. Brown, D. Capson

Tags: Computer science, CUDA, DirectX, nVidia, Particle filtering, Real-time graphics, Rendering, Video tracking

May 24, 2011 by hgpu

Optimized parallel implementation of pedestrian tracking using HOG features on GPU

H. Sugano, R. Miyamoto, Y. Nakamura

Tags: Computer science, Computer vision, Image recognition, Video tracking

May 17, 2011 by hgpu

Fast gain-adaptive KLT tracking on the GPU

Christopher Zach, David Gallup, Jan-Michael Frahm

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Source codes

Tags: Cg, Computer science, Computer vision, CUDA, GLSL, nVidia, nVidia GeForce 7950 GX2, nVidia GeForce 8400 GS, nVidia GeForce 8800 Ultra, OpenGL, Package, Video tracking

May 12, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Particle filtering, Video tracking

May 11, 2011 by hgpu

GPU-accelerated computation for robust motion tracking using the CUDA framework

Jing Huang, Sean P. Ponce, Seung In Park, Yong Cao, Francis Quek

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, Video tracking

May 9, 2011 by hgpu

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 by hgpu

GPU Acceleration of Real-time Feature Based Algorithms

Jason M. Ready, Clark N. Taylor

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 27, 2011 by hgpu

Tracking and Clustering Salient Features in Image Sequences

Werner Bailer, Hannes Fassold, Felix Lee, Jakub Rosner

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Rendering, Video tracking

April 25, 2011 by hgpu

GPU-based high-speed and high-precision visual tracking

E. Ito, S. Saga, T. Okatani, K. Deguchi

Tags: Image processing, Video tracking

April 14, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

Optimized parallel implementation of pedestrian tracking using HOG features on GPU

Fast gain-adaptive KLT tracking on the GPU

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

GPU-accelerated computation for robust motion tracking using the CUDA framework

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

GPU Acceleration of Real-time Feature Based Algorithms

Tracking and Clustering Salient Features in Image Sequences

GPU-based high-speed and high-precision visual tracking

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

A simple and efficient way to compute depth maps for multi-view videos

Recent source codes

CLUEstering: a high-performance density-based clustering library for scientific computing

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