Tracking

http://gti-work.blogspot.kr/2012/10/code-for-single-object-tracking.html#!/2012/10/code-for-single-object-tracking.html

Code for single object tracking

(Updated 21-Nov-2012)
The purpose of this collection of code is to have a tool kit for the research of single object tracking (mainly focused on visual tracking, but not restricted to it).

Contributions are welcomed, just add a remark at the end of the post with the link and a brief description. The code should be belong to state of the art, i.e. there should be a recent conference/journal publication behind it. Old code can be also interesting as base line algorithms.

Particle filter based trackers

• Particle Filter Color Tracker [Link 1]
• Matlab and c/c++ code.
• Key words: region tracker, color histogram, ellipsoidal region, particle filter, SIR resampling.
• Region Tracker based on a color Particle Filter [Link 1] [Example]
• Matlab and c/c++ code.
• Key words: region tracker, color histogram, ellipsoidal region, particle filter, SIR resampling.
• Region Tracker based on an intensity Particle Filter [Link]
• Matlab and c/c++ code.
• Key words: region tracker, intensity histogram, ellipsoidal region, particle filter, SIR resampling.
• Particle Filter Object Tracking [Link]
• C/C++.

Mean shift based trackers

• Scale and Orientation Adaptive Mean Shift Tracking. [Link]
• Matlab.
• Robust Mean Shift Tracking with Corrected Background-Weighted Histogram. [Link]
• Matlab.
• Robust Object Tracking using Joint Color-Texture Histogram. [Link]
• Matlab.
• Tracking moving video objects using mean-shift algorithm. [Link]
• Matlab.
• Mean-shift Based Moving Object Tracker [Link]
• C/C++.
• Mean-Shift Video Tracking [Link]
• Matlab.
• Gray scale mean shift algorithm for tracking. [Link]
• Matlab.
• Mean shift tracking algorithm for tracking [Link]
• Matlab.

Deformable/articulable object trackers

• Visual Tracking with Integral Histograms and Articulating Blocks [Link]
• Matlab and c/c++ code
• Key words: region tracker, intensity histogram, multi-rectangular regions, integral histogram, exhaustive search, graph cut segmentation.

Appearance learning based trackers

• Robust Object Tracking with Online Multiple Instance Learning. [Link]
• C/C++.
• Visual Tracking via Adaptive Structural Local Sparse Appearance Model. [Link]
• Matlab.
• Online Discriminative Object Tracking with Local Sparse Representation. [Link]
• Matlab
• Superpixel Tracking. [Link]
• Matlab.
• Online Multiple Support Instance Tracking. [Link]
• Matlab.
• Incremental Learning for Robust Visual Tracking. [Link]
• Matlab.
• Tracking with Online Multiple Instance Learning (MILTrack). [Link]
• C/C++, OpenCV
• Predator. [Link]
• Matlab.
• Object Tracking via Partial Least Squares Analysis. [Link]
• Matlab.
• Robust Object Tracking via Sparsity-based Collaborative Model. [Link]
• Matlab.
• On-line boosting trackers. [Link]
• C/C++.