Hakan Haberdar, PhD

Quantitative Imaging Laboratory, Department of Computer Science, University of Houston


E-mail: hhaberdar  (at) uh  (dot) edu
  hakan  (at) haberdar  (dot) org

Education    Work Experience    Research Interests    Publications (HakanScholar)   
Tutorials New!   

Education

Work Experience

Research Interests and Demos

Recent Projects

  • Change detection using Markov Random Field Theory
  • Camera calibration and 3D reconstruction
  • Image segmentation using Bayesian Decision and Estimation Theory
  • Facial feature detection, tracking and analysis
  • Parallel implementation (MPI) of efficient matrix multiplication and prime number generating algorithms
  • Random number generation using Cumulative Probability Distribution functions
  • Matching of images of the same scene taken at different times using Linear Discriminant Analysis
  • Text compression by Huffman Tree
  • BMP image compression and encryption

In the News

Tutorials  (Under  Const ructi on)

Publications

Citations to my publications: 51. Please click here for my Google Scholar profile.
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Selected Publications
1) Hakan Haberdar and Shishir K. Shah. "Change Detection in Dynamic Scenes using Local Adaptive Transform". 24th British Machine Vision Conference, BMVC, pp. 6.1-6.12, 2013.
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Cited 1 time by
Ying, W.X. and Yang, L.: "Comparison of 3-D Discrete Cosine and Discrete Sine Transforms for the Novelty Estimation in Volumetric Data". Journal of Computer and Information Technology, vol. 3(2), pp. 193-198, 2014.
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2) Hakan Haberdar and Shishir K. Shah. "Video Synchronization as One-Class Learning". 27th ACM Conference on Image and Vision Computing, pp. 469-474, 2012.
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Cited 3 times by
Amasyali, M.F.: "A Semi-Random Subspace Method for Classification Ensembles". 21th IEEE Signal Processing and Communications Applications Conference, 2013.
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Bilgin G.: "A Semi-Random Subspace Method for Classification Ensembles". 21th IEEE Signal Processing and Communications Applications Conference, 2013.
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Ying, W.X. and Yang, L.: "Comparison of 3-D Discrete Cosine and Discrete Sine Transforms for the Novelty Estimation in Volumetric Data". Journal of Computer and Information Technology, vol. 3(2), pp. 193-198, 2014.
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3) Hakan Haberdar and Shishir K. Shah. "Disparity Map Refinement for Video Based Scene Change Detection Using a Mobile Stereo Camera Platform". 20th International Conference on Pattern Recognition, ICPR, pp. 3890-3893, 2010.
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Cited 4 times by
Diego, F., Evangelidis, G.D., and Serrat, J.: " Night-time outdoor surveillance with mobile cameras". International Conference on Pattern Recognition Applications and Methods, ICPRAM, pp. 365-371, 2012.
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Kansiz, A.O. and Guvensan, M.A.: "Accident recognition using mobile phone". 21th IEEE Signal Processing and Communications Applications Conference, 2013.
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Ergul, U. and Bilgin G.: "Segmentation of hyperspectral images using local covariance matrices in eigenspace". 21th IEEE Signal Processing and Communications Applications Conference, 2013.
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Bilgazyev, E., Yeniaras, E., Uyanik, I., Unan, M. and Leiss, E.L.: "Sparse representation based face recognition using weighted regions". SPIE 9067, 6th International Conference on Machine Vision, 2013.
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4) Oya Aran, Ismail Ari, Amac Guvensan, Hakan Haberdar, Zeyneb Kurt, Irem Turkmen, Asli Uyar, and Lale Akarun. "A Database of Non-Manual Signs in Turkish Sign Language". 15th IEEE Conference on Signal Processing and Communications Applications, pp.1-4, 2007.
Cited 16 times by
Ari, I., Uyar, A., and Akarun, L.: "Facial feature tracking and expression recognition for sign language". 23rd International Symposium on Computer and Information Sciences, ISCIS, pp. 1-6, 2008.
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Akakin, H.C. and Sankur, B.: "Analysis of Head and Facial Gestures Using Facial Landmark Trajectories". Biometric ID Management and Multimodal Communication, Lecture Notes in Computer Science, Vol. 5707, pp.105-113, 2009.
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Saraswat, M. and Arya, K.V.: "Automatic facial landmark detection in a video sequences of non-manual sign languages". International Conference onIndustrial and Information Systems, ICIIS, pp. 358-361, 2009.
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Miles, M.: "Deaf people, sign language, and communication in Ottoman and Modern Turkey". Independent Living Institute Press, 2009.
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Akakin, H.C. and Sankur, B: "Classification performance of different classifiers on head gestures and facial expressions". 18th IEEE Signal Processing and Communications Applications Conference, pp. 212-215, 2010.
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Aran, O. and Akarun, L.: "A multi-class classification strategy for Fisher scores: Application to signer independent sign language recognition". Pattern Recognition, Vol. 43(5), pp. 1776-1788, 2010.
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Akakin, H.C. and Sankur, B.: "Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis". Human Behavior Understanding, Lecture Notes in Computer Science, Vol. 6219, pp.64-74, 2010.
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Akakin, H.C.: "Automatic Analysis of Head And Facial Gestures In Video Streams". Doctoral Dissertation, Dept. of Electrical and Electronics Engineering, Bogazici University, 2010.
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Teijeiro-Mosquera, L. and Alba-Castro, J.L.: "Recursive pose dependent AAM: Application to drivers' monitoring". 5th IEEE Intelligent Vehicles Symposium, pp. 356-361, 2011.
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Koestinger, M., Wohlhart, P., Roth, P.M., and Bischof, H.: "Annotated Facial Landmarks in the Wild: a Large-scale, Real-world Database for Facial Landmark Localization". IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, 2011.
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Saraswat, M. and Arya, K.V.: "Automatic Facial Expression Recognition in an Image Sequence of Non-Manual Indian Sign Language Using Support Vector Machine". Advances in Intelligent and Soft Computing Vol. 131, pp. 267-275, 2012.
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Sheerman-Chase, T.: "On the Automatic Recognition of Facial Non-verbal Communication Meaning in Informal, Spontaneous Conversation". Doctor of Philosophy Dissertation, Centre for Vision, Speech and Signal Processing, Faculty ofEngineering and Physical Sciences, University of Surrey, 2012.
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Chen, Y., Yu, F., and Ai, C.: "Sequential Active Appearance Model Based on Online Instance Learning". IEEE Signal Processing Letters, Vol. 20, No. 6, pp. 567-570, 2013.
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Chen, Y., Hua, C., and Bai, R.: "Regression-based Active Appearance Model initialization for facial feature tracking with missing frames". Pattern Recognition Letters, Vol. 38, pp. 113-119, 2014.
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Dang-Nguyen, D.T.: "Discrimination of Computer Generated versus Natural Human Faces". Doctoral Dissertation, University of Trento, Trento, Italy, 2014.
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Melnyk, M., Shadrova, V., and Karwatsky, B.: "Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey". Journal of Computer Applications, Vol. 89, No 17, 2014.
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5) Hakan Haberdar and Songul Albayrak. "A Two-Stage Visual Turkish Sign Language Recognition System Based on Global and Local Features". Lecture Notes in Artificial Intelligence, Springer-Verlag, Vol. 4203, pp. 29-37, 2006.
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Cited 6 times by
Altun, O. and Albayrak, S.: "Increasing the Effect of Fingers in Fingerspelling Hand Shapes by Thick Edge Detection and Correlation with Penalization". Advances in Image and Video Technology, Lecture Notes in Computer Science, Vol. 4319, pp. 1133-1141, 2006.
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Altun, O., Albayrak, S., Ekinci, A., and Bukun, B.: "Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment". Advances in Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, pp. 473-481, 2006.
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Uebersax, D.: "Gesture Recognition with a Time-of-Flight Camera". Master of Science Thesis, Department of Information Technology and Electrical Engineering, Computer Vision Laboratory, ETH Zurich, 2010.
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Weon, K.W.: "Towards subject independent sign language recognition: a segment-based probabilistic approach". Doctoral Dissertation, Department of Electrical and Computer Engineering, National University of Singapore, 2011.
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Oszust, M.: "Using clustering of time series for video-based recognition of signed expressions". Doctoral Dissertation, AGH University of Science and Technology, Krakow, Poland, 2013.
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Melnyk, M., Shadrova, V., and Karwatsky, B.: "Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey". Journal of Computer Applications, Vol. 89, No 17, 2014.
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6) Hakan Haberdar, Real Time Turkish Sign Language Recognition System From Video Using Hidden Markov Models, Master of Science Thesis, Department of Computer Engineering, Yildiz Technical University, 2005.
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Cited 8 times by
Semerci, Z.: "Investigation of Three Basic Problems in Hidden Markov Models". Master of Science Thesis, Department of Statistics, Hacettepe University, 2006.
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Nabiyev, V.V., Kose, C., and Bayrak, S.: "An Artificial Neural Network Approach for Sign Language Vowels Recognition". 14th IEEE Signal Processing and Communications Applications, 2006.
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Bayrak, S. and Nabiyev, V.V.: "Recognition of Vowels Letters of Turkish Sign Language by Artificial Neural Networks". 14th IEEE Signal Processing and Communications Applications, 2006.
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Aslan,E., Danaci, G., and Arslan, N.: "The Colour Signaling Process in Turkish Sign Language". Journal of Linguistics, University of Ankara, Vol. 138, pp. 34-42, 2007.
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Birdal, A. and Hassanpour, R.: "Region Based Hand Gesture Recognition". 16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2008.
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Hassanpour, R., Stephan W., and Asadollah, S.: "Vision Based Hand Gesture Recognition for Human Computer Interaction: A Review". IADIS International Conference Interfaces and Human Computer Interaction, pp. 125-134,2008.
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Hassanpour, R. and Shahbahrami, A.: "Human Computer Interaction Using Vision-Based Hand Gesture Recognition". Journal of Advances in Computer Research, Vol. 2 pp. 21-30, 2010.
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Reis, Z.A., Gucukoglu, B., and Eskici, B.: "Facilitation of Hearing and Speech Impaired People's Life". Journal of Advances in Computer Research, Vol. 2 pp. 21-30, 2010.
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7) Hakan Haberdar, Real Time Isolated Turkish Sign Language Recognition From Video using Hidden Markov Models with Global Features, Lecture Notes in Computer Science, Springer-Verlag, Vol. 3733, pp. 677-688, 2005.
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Cited 10 times by
Altun, O. and Albayrak, S.: "Increasing the Effect of Fingers in Fingerspelling Hand Shapes by Thick Edge Detection and Correlation with Penalization". Advances in Image and Video Technology, Lecture Notes in Computer Science, Vol. 4319, pp. 1133-1141, 2006.
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Altun, O., Albayrak, S., Ekinci, A., and Bukun, B.: "Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment". Advances in Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, pp. 473-481, 2006.
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Nabiyev, V.V., Bayrak, S., and Ustubioglu, A.: "Intelligent Communication Between Hearing Disabled People And Visual Disabled People". International Conference Problems of Cybernetics and Informatics, 2008.
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Isikdogan, F. and Songul, A.: "Automatic recognition of Turkish fingerspelling". International Symposium on Innovations in Intelligent Systems and Applications, INISTA, pp. 264-267, 2011.
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Fourati, N. and Marilly, E.: "Gestures for Natural Interaction with Video". SPIE 8305, Electronic Imaging. International Society for Optics and Photonics, Vol. 8305, pp. 1-12, 2012.
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Marilly, E., Martinot, O. and Gonguet, A.: "Gestures Interactions for Immersive Communications". 20th European Signal Processing Conference, EUSIPCO, pp. 2372-2376, 2012.
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Memis, A. and Albayrak, S.: "A Kinect based sign language recognition system using spatio-temporal features". SPIE 9067, Sixth International Conference on Machine Vision, ICMV, Vol. 9067, 2013.
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Memis, A. and Albayrak, S.: "Turkish Sign Language recognition using spatio-temporal features on Kinect RGB video sequences and depth maps". 21th IEEE Signal Processing and Communications Applications Conference, 2013.
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Marilly, E., Gonguet, A., Martinot, O. and Pain, F.: "Gesture Interactions With Video: From Algorithms to User Evaluation". Special Issue: Human Science and User Experience, Bell Labs Technical Journal, Vol. 17(4), pp. 103–118, 2013.
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Melnyk, M., Shadrova, V., and Karwatsky, B.: "Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey". Journal of Computer Applications, Vol. 89, No 17, 2014.
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Last updated on April 1st, 2014. This page is edited frequently, so please visit again later for more updated list.
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