Michael J. Jones

Michael J. Jones
  • Phone: 617-621-7587
  • Email: mjones[at]merl[dot]com
  • Biography

    Mike's main areas of interest are computer vision, machine learning and data mining. He has focused on algorithms for detecting and analyzing people in images and video including face detection and recognition and pedestrian detection. He is a co-inventor of the popular Viola-Jones face detection method. Mike has been awarded the Marr Prize at ICCV and the Longuet-Higgins Prize at CVPR.

  • Awards

    •  AWARD   CVPR 2011 Longuet-Higgins Prize
      Date: June 25, 2011
      Awarded to: Paul A. Viola and Michael J. Jones
      Awarded for: "Rapid Object Detection using a Boosted Cascade of Simple Features"
      Awarded by: Conference on Computer Vision and Pattern Recognition (CVPR)
      MERL Contact: Michael J. Jones
      Research Areas: Computer Vision, Machine Learning
      Brief
      • Paper from 10 years ago with the largest impact on the field: "Rapid Object Detection using a Boosted Cascade of Simple Features", originally published at Conference on Computer Vision and Pattern Recognition (CVPR 2001)
    •  
    See All Awards for MERL
  • MERL Publications

    •  Jones, M.J.; Nikovski, D.N.; Imamura, M.; Hirata, T., "Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series", Journal of Data Mining and Knowledge Discovery, DOI: 10.1007/s10618-015-0449-3, ISSN: 1573-756X, pp. 1-28, March 2016.
      BibTeX Download PDFRead TR2016-027
      • @article{Jones2016mar,
      • author = {Jones, M.J. and Nikovski, D.N. and Imamura, M. and Hirata, T.},
      • title = {Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series},
      • journal = {Journal of Data Mining and Knowledge Discovery},
      • year = 2016,
      • pages = {1--28},
      • month = mar,
      • doi = {10.1007/s10618-015-0449-3},
      • issn = {1573-756X},
      • url = {http://www.merl.com/publications/TR2016-027}
      • }
    •  Ahmed, E.; Jones, M.J.; Marks, T.K., "An Improved Deep Learning Architecture for Person Re-Identification", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPR.2015.7299016, June 2015, pp. 3908-3916.
      BibTeX Download PDFRead TR2015-076
      • @inproceedings{Jones2015jun,
      • author = {Ahmed, E. and Jones, M.J. and Marks, T.K.},
      • title = {An Improved Deep Learning Architecture for Person Re-Identification},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2015,
      • pages = {3908--3916},
      • month = jun,
      • doi = {10.1109/CVPR.2015.7299016},
      • url = {http://www.merl.com/publications/TR2015-076}
      • }
    •  Papazov, C.; Marks, T.K.; Jones, M.J., "Real-time Head Pose and Facial Landmark Estimation from Depth Images Using Triangular Surface Patch Features", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPR.2015.7299104, June 2015, pp. 4722-4730.
      BibTeX Download PDFRead TR2015-069
      • @inproceedings{Marks2015jun,
      • author = {Papazov, C. and Marks, T.K. and Jones, M.J.},
      • title = {Real-time Head Pose and Facial Landmark Estimation from Depth Images Using Triangular Surface Patch Features},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2015,
      • pages = {4722--4730},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/CVPR.2015.7299104},
      • url = {http://www.merl.com/publications/TR2015-069}
      • }
    •  Imamura, M.; Nikovski, D.N.; Sahinoglu, Z.; Jones, M.J., "A Survey on Machine Learning for Equipment Condition Monitoring using Sensor Big Data", IIEEJ Transactions on Image Electronics and Visual Computing, ISSN: 2188-1901, Vol. 2, No. 2, December 2014.
      BibTeX
      • @article{Imamura2014dec,
      • author = {Imamura, M. and Nikovski, D.N. and Sahinoglu, Z. and Jones, M.J.},
      • title = {A Survey on Machine Learning for Equipment Condition Monitoring using Sensor Big Data},
      • journal = {IIEEJ Transactions on Image Electronics and Visual Computing},
      • year = 2014,
      • volume = 2,
      • number = 2,
      • month = dec,
      • issn = {2188-1901},
      • url = {http://cebook.dolab.jp/DcSeRO/DcSeRO57.dll?JVV&ID=-UBXFY0NWY}
      • }
    •  Kumar, S.; Marks, T.K.; Jones, M., "Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), DOI: 10.1109/CVPRW.2014.41, June 2014, pp. 217-224.
      BibTeX Download PDFRead TR2014-036
      • @inproceedings{Kumar2014jun,
      • author = {Kumar, S. and Marks, T.K. and Jones, M.},
      • title = {Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
      • year = 2014,
      • pages = {217--224},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/CVPRW.2014.41},
      • url = {http://www.merl.com/publications/TR2014-036}
      • }
    See All Publications for Mike
  • Other Publications

    •  Huang, G.B.; Jones, M.J.; Learned-Miller, E.; others, "Lfw results using a combined nowak plus merl recognizer", 2008.
      BibTeX
      • @Article{huang2008lfw,
      • author = {Huang, G.B. and Jones, M.J. and Learned-Miller, E. and others},
      • title = {Lfw results using a combined nowak plus merl recognizer},
      • year = 2008
      • }
    •  Cham, T.J.; Krishnamoorthy, S.; Jones, M., "Analogous view transfer for gaze correction in video sequences", Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on, 2002, vol. 3, pp. 1415-1420.
      BibTeX
      • @Inproceedings{cham2002analogous,
      • author = {Cham, T.J. and Krishnamoorthy, S. and Jones, M.},
      • title = {Analogous view transfer for gaze correction in video sequences},
      • booktitle = {Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on},
      • year = 2002,
      • volume = 3,
      • pages = {1415--1420},
      • organization = {IEEE}
      • }
    •  Jones, M.J.; Rehg, J.M., "Statistical color models with application to skin detection", International Journal of Computer Vision, Vol. 46, No. 1, pp. 81-96, 2002.
      BibTeX
      • @Article{jones2002statistical,
      • author = {Jones, M.J. and Rehg, J.M.},
      • title = {Statistical color models with application to skin detection},
      • journal = {International Journal of Computer Vision},
      • year = 2002,
      • volume = 46,
      • number = 1,
      • pages = {81--96},
      • publisher = {Springer}
      • }
    •  Kang, S.B.; Jones, M., "Appearance-based structure from motion using linear classes of 3-d models", International Journal of Computer Vision, Vol. 49, No. 1, pp. 5-22, 2002.
      BibTeX
      • @Article{kang2002appearance,
      • author = {Kang, S.B. and Jones, M.},
      • title = {Appearance-based structure from motion using linear classes of 3-d models},
      • journal = {International Journal of Computer Vision},
      • year = 2002,
      • volume = 49,
      • number = 1,
      • pages = {5--22},
      • publisher = {Springer}
      • }
    •  Procopiuc, C.M.; Jones, M.; Agarwal, P.K.; Murali, TM, "A Monte Carlo algorithm for fast projective clustering", Proceedings of the 2002 ACM SIGMOD international conference on Management of data, 2002, pp. 418-427.
      BibTeX
      • @Inproceedings{procopiuc2002monte,
      • author = {Procopiuc, C.M. and Jones, M. and Agarwal, P.K. and Murali, TM},
      • title = {A Monte Carlo algorithm for fast projective clustering},
      • booktitle = {Proceedings of the 2002 ACM SIGMOD international conference on Management of data},
      • year = 2002,
      • pages = {418--427},
      • organization = {ACM}
      • }
    •  Viola, P.; Jones, M., "Fast and robust classification using asymmetric adaboost and a detector cascade", Proc. of NIPS01, 2001.
      BibTeX
      • @Article{viola2001fast,
      • author = {Viola, P. and Jones, M.},
      • title = {Fast and robust classification using asymmetric adaboost and a detector cascade},
      • journal = {Proc. of NIPS01},
      • year = 2001
      • }
    •  Jones, M.J.; Rehg, J.M., "Statistical color models with application to skin detection", Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., 1999, vol. 1.
      BibTeX
      • @Inproceedings{jones1999statistical,
      • author = {Jones, M.J. and Rehg, J.M.},
      • title = {Statistical color models with application to skin detection},
      • booktitle = {Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.},
      • year = 1999,
      • volume = 1,
      • organization = {IEEE}
      • }
    •  Rikert, T.D.; Jones, M.J.; Viola, P., "A cluster-based statistical model for object detection", Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 1999, vol. 2, pp. 1046-1053.
      BibTeX
      • @Inproceedings{rikert1999cluster,
      • author = {Rikert, T.D. and Jones, M.J. and Viola, P.},
      • title = {A cluster-based statistical model for object detection},
      • booktitle = {Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on},
      • year = 1999,
      • volume = 2,
      • pages = {1046--1053},
      • organization = {IEEE}
      • }
    •  Jones, M.J.; Poggio, T., "Hierarchical morphable models", Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on, 1998, pp. 820-826.
      BibTeX
      • @Inproceedings{jones1998hierarchical,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Hierarchical morphable models},
      • booktitle = {Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on},
      • year = 1998,
      • pages = {820--826},
      • organization = {IEEE}
      • }
    •  Jones, M.J.; Poggio, T., "Multidimensional morphable models: A framework for representing and matching object classes", International Journal of Computer Vision, Vol. 29, No. 2, pp. 107-131, 1998.
      BibTeX
      • @Article{jones1998multidimensional,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Multidimensional morphable models: A framework for representing and matching object classes},
      • journal = {International Journal of Computer Vision},
      • year = 1998,
      • volume = 29,
      • number = 2,
      • pages = {107--131},
      • publisher = {Springer}
      • }
    •  Rikert, T.D.; Jones, M.J., "Gaze estimation using morphable models", Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, 1998, pp. 436-441.
      BibTeX
      • @Inproceedings{rikert1998gaze,
      • author = {Rikert, T.D. and Jones, M.J.},
      • title = {Gaze estimation using morphable models},
      • booktitle = {Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on},
      • year = 1998,
      • pages = {436--441},
      • organization = {IEEE}
      • }
    •  Jones, M.J., "Multidimensional morphable models: A framework for representing and matching object classes", 1997.
      BibTeX
      • @Phdthesis{jones1997multidimensional,
      • author = {Jones, M.J.},
      • title = {Multidimensional morphable models: A framework for representing and matching object classes},
      • year = 1997,
      • publisher = {Massachusetts Institute of Technology}
      • }
    •  Jones, M.J.; Sinha, P.; Vetter, T.; Poggio, T., "Top-down learning of low-level vision tasks", Current Biology, Vol. 7, No. 12, pp. 991-994, 1997.
      BibTeX
      • @Article{jones1997top,
      • author = {Jones, M.J. and Sinha, P. and Vetter, T. and Poggio, T.},
      • title = {Top-down learning of low-level vision tasks},
      • journal = {Current Biology},
      • year = 1997,
      • volume = 7,
      • number = 12,
      • pages = {991--994},
      • publisher = {Elsevier}
      • }
    •  Vetter, T.; Jones, M.J.; Poggio, T., "A bootstrapping algorithm for learning linear models of object classes", Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on, 1997, pp. 40-46.
      BibTeX
      • @Inproceedings{vetter1997bootstrapping,
      • author = {Vetter, T. and Jones, M.J. and Poggio, T.},
      • title = {A bootstrapping algorithm for learning linear models of object classes},
      • booktitle = {Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on},
      • year = 1997,
      • pages = {40--46},
      • organization = {IEEE}
      • }
    •  Girosi, F.; Jones, M.; Poggio, T., "Regularization theory and neural networks architectures", Neural computation, Vol. 7, No. 2, pp. 219-269, 1995.
      BibTeX
      • @Article{girosi1995regularization,
      • author = {Girosi, F. and Jones, M. and Poggio, T.},
      • title = {Regularization theory and neural networks architectures},
      • journal = {Neural computation},
      • year = 1995,
      • volume = 7,
      • number = 2,
      • pages = {219--269},
      • publisher = {MIT Press}
      • }
    •  Jones, M.J.; Poggio, T., "Model-based matching of line drawings by linear combinations of prototypes", Computer Vision, 1995. Proceedings., Fifth International Conference on, 1995, pp. 531-536.
      BibTeX
      • @Inproceedings{jones1995model,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Model-based matching of line drawings by linear combinations of prototypes},
      • booktitle = {Computer Vision, 1995. Proceedings., Fifth International Conference on},
      • year = 1995,
      • pages = {531--536},
      • organization = {IEEE}
      • }
    •  Girosi, F.; Jones, M.; Poggio, T., "Priors stabilizers and basis functions: From regularization to radial, tensor and additive splines", MIT AI Lab Memo 1430, 1993.
      BibTeX
      • @Article{girosi1993priors,
      • author = {Girosi, F. and Jones, M. and Poggio, T.},
      • title = {Priors stabilizers and basis functions: From regularization to radial, tensor and additive splines},
      • journal = {MIT AI Lab Memo 1430},
      • year = 1993
      • }
    •  Poggio, T.; Girosi, F.; Jones, M., "From regularization to radial, tensor and additive splines", Neural Networks, 1993. IJCNN'93-Nagoya. Proceedings of 1993 International Joint Conference on, 1993, vol. 1, pp. 223-227.
      BibTeX
      • @Inproceedings{poggio1993regularization,
      • author = {Poggio, T. and Girosi, F. and Jones, M.},
      • title = {From regularization to radial, tensor and additive splines},
      • booktitle = {Neural Networks, 1993. IJCNN'93-Nagoya. Proceedings of 1993 International Joint Conference on},
      • year = 1993,
      • volume = 1,
      • pages = {223--227},
      • organization = {IEEE}
      • }
    •  Jones, M.J., "Using recurrent networks for dimensionality reduction", 1992, Massachusetts Institute of Technology.
      BibTeX
      • @Mastersthesis{jones1992using,
      • author = {Jones, M.J.},
      • title = {Using recurrent networks for dimensionality reduction},
      • school = {Massachusetts Institute of Technology},
      • year = 1992
      • }
  • Free Downloads

  • MERL Issued Patents

    • Title: "Method and System for Tracking People in Indoor Environments using a Visible Light Camera and a Low-Frame-Rate Infrared Sensor"
      Inventors: Marks, Tim; Jones, Michael J.; Kumar, Suren
      Patent No.: 9,245,196
      Issue Date: Jan 26, 2016
    • Title: "Method for Detecting and Tracking Objects in Image Sequences of Scenes Acquired by a Stationary Camera"
      Inventors: Marks, Tim; Jones, Michael J.; MV, Rohith
      Patent No.: 9,213,896
      Issue Date: Dec 15, 2015
    • Title: "Method for Detecting Anomalies in a Time Series Data with Trajectory and Stochastic Components"
      Inventors: Jones, Michael J.
      Patent No.: 9,146,800
      Issue Date: Sep 29, 2015
    • Title: "Method for Predicting Future Travel Time Using Geospatial Inference"
      Inventors: Jones, Michael J.; Nikovski, Daniel N.; Geng, Yanfeng
      Patent No.: 9,122,987
      Issue Date: Sep 1, 2015
    • Title: "Method for Detecting Anomalies in Multivariate Time Series Data"
      Inventors: Nikovski, Daniel N.; Jones, Michael J.
      Patent No.: 9,075,713
      Issue Date: Jul 7, 2015
    • Title: "Camera-Based 3D Climate Control"
      Inventors: Marks, Tim; Jones, Michael J.
      Patent No.: 8,929,592
      Issue Date: Jan 6, 2015
    • Title: "Object Detection in Depth Images"
      Inventors: Jones, Michael J.; Tuzel, C. Oncel; Si, Weiguang
      Patent No.: 8,406,470
      Issue Date: Mar 26, 2013
    • Title: "Method for identifying Faces in Images with Improved Accuracy Using Compressed Feature Vectors"
      Inventors: Thornton, Jay E.; Jones, Michael J.
      Patent No.: 8,213,691
      Issue Date: Jul 3, 2012
    • Title: "Method for Synthetically Images of Objects"
      Inventors: Jones, Michael J.; Marks, Tim; Kumar, Ritwik
      Patent No.: 8,194,072
      Issue Date: Jun 5, 2012
    • Title: "Method for Localizing Irises in Images Using Gradients and Textures"
      Inventors: Jones, Michael J.; Guo, Guo Dong
      Patent No.: 7,583,823
      Issue Date: Sep 1, 2009
    • Title: "Detecting Pedestrians Using Patterns of Motion and Appearance in Videos"
      Inventors: Jones, Michael J.; Viola, Paul A.
      Patent No.: 7,212,651
      Issue Date: May 1, 2007
    • Title: "Detecting Arbitrarily Oriented Objects in Images"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,197,186
      Issue Date: Mar 27, 2007
    • Title: "Object Recognition System"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,031,499
      Issue Date: Apr 18, 2006
    • Title: "System and Method for Detecting Objects in Images"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,020,337
      Issue Date: Mar 28, 2006
    See All Patents for MERL