Adaptive Background Subtraction Tracker

An adaptive background subtraction based multiple object tracker using OpenCv.

If you use the code/binary in any of your research works, please cite the following papers.

Bibtex:

@inproceedings{sunderrajan2013context,
  title={Context-Aware Graph Modeling for Object Search and Retrieval in a Wide Area Camera Network},
  author={Sunderrajan, Santhoshkumar and Xu, Jiejun and Manjunath, BS},
  booktitle={Proc. International Conference on Distributed Smart Cameras},
  year={2013}
}

@article{xu2013graph,
  title={Graph-Based Topic-Focused Retrieval in Distributed Camera Network},
  author={Xu, Jiejun and Jagadeesh, Vignesh and Ni, Zefeng and Sunderrajan, Santhoshkumar and Manjunath, BS},
  year={2013},
  publisher={IEEE}
}

@article{sunderrajanucsb,
  title={UCSB UCR VCG TRECVID 2012},
  author={Sunderrajan, Santhoshkumar and Hasan, Mahmudul and Pourian, Niloufar and Zhu, Yingying and Manjunath, BS and Chowdhury, Amit Roy}
}
          

Particle Filter Tracking With Online Multiple Instance Learning

Windows and linux binaries for MIL-PF. Binary depends on Intel's IPP and OpenCv libraries. IPP and OpenCv DLL's are included for Windows within the archive file.

If you use the binary in any of your research works, please cite the following paper.

Bibtex:

@inproceedings{ni2010particle,
  title={Particle filter tracking with online multiple instance learning},
  author={Ni, Zefeng and Sunderrajan, Santhoshkumar and Rahimi, Amir and Manjunath, BS},
  booktitle={Pattern Recognition (ICPR), 2010 20th International Conference on},
  pages={2616--2619},
  year={2010},
  organization={IEEE}
}
          

Distributed particle filter tracking with online multiple instance learning in a camera sensor network

Windows and linux binaries for distributed multi-camera particle filter based tracking. Binary depends on Intel's IPP and OpenCv libraries. IPP and OpenCv DLL's are included for Windows within the archive file.

If you use the binary in any of your research works, please cite the following paper.

Bibtex:

@inproceedings{ni2010distributed,
  title={Distributed particle filter tracking with online multiple instance learning in a camera sensor network},
  author={Ni, Zefeng and Sunderrajan, Santhoshkumar and Rahimi, Amir and Manjunath, BS},
  booktitle={Image Processing (ICIP), 2010 17th IEEE International Conference on},
  pages={37--40},
  year={2010},
  organization={IEEE}
}
          

Robust Multiple Camera Tracking with Spatial And Appearance Contexts.

A multi-camera tracking algorithm using matlab.

If you use the software in any of your research works, please cite the following papers.

Bibtex:

@inproceedings{sunderrajan2015robust,
  title={Robust Multiple Camera Tracking with Spatial And Appearance Contexts},
  author={Sunderrajan, Santhoshkumar and Jagadeesh, Vignesh and Manjunath, BS},
  year={2015},
}

@inproceedings{sunderrajan2013multiple,
  title={Multiple view discriminative appearance modeling with IMCMC for distributed tracking},
  author={Sunderrajan, Santhoshkumar and Manjunath, BS},
  booktitle={Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on},
  pages={1--7},
  year={2013},
  organization={IEEE}
}
          

Multiple view discriminative appearance modeling with IMCMC for distributed tracking.

A multi-camera tracking algorithm using matlab.

If you use the software in any of your research works, please cite the following papers.

Bibtex:

@inproceedings{sunderrajan2013multiple,
  title={Multiple view discriminative appearance modeling with IMCMC for distributed tracking},
  author={Sunderrajan, Santhoshkumar and Manjunath, BS},
  booktitle={Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on},
  pages={1--7},
  year={2013},
  organization={IEEE}
}
          

Context-Aware Hypergraph Modeling for Re-identification and Summarization.

Context-Aware Object Search and Retrieval using MATLAB.

If you use the code/binary in any of your research works, please cite the following papers.

Bibtex:

@ARTICLE{sunderrajan2015context, 
  author={Sunderrajan, S. and Manjunath, B.S.}, 
  journal={Multimedia, IEEE Transactions on}, 
  title={Context-Aware Hypergraph Modeling for Re-identification and Summarization}, 
  year={2016}, 
  volume={18}, 
  number={1}, 
  pages={51-63}, 
  keywords={Cameras;Clothing;Histograms;Image color analysis;Indexes;Topology;Training;Camera network;person re-identification;search;summarization}, 
  doi={10.1109/TMM.2015.2496139}, 
  ISSN={1520-9210}, 
  month={Jan}
}

@inproceedings{sunderrajan2013context,
  title={Context-aware graph modeling for object search and retrieval in a wide area camera network},
  author={Sunderrajan, Santhoshkumar and Xu, Jiejun and Manjunath, BS},
  booktitle={Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on},
  pages={1--7},
  year={2013},
  organization={IEEE}
}

@article{xu2013graph,
  title={Graph-Based Topic-Focused Retrieval in Distributed Camera Network},
  author={Xu, Jiejun and Jagadeesh, Vignesh and Ni, Zefeng and Sunderrajan, Santhoshkumar and Manjunath, BS},
  year={2013},
  publisher={IEEE}
}
          

DataScience Toolbox

A toolbox written in Python.