Anjan Kumar Talukdar

Assistant Professor

MTech (Tezpur) PhD (IIT Guwahati)

Machine Learning and Computer Vision

Department of Electronics and Communication Engineering
Gauhati University, Guwahati, 781014
Email: anjantalukdar[at]gauhati[dot]ac[dot]in

Dr. Anjan Kumar Talukdar is currently working as an Assistant Professor (Selection Grade) in the department of Electronics and Communication Engineering, GUIST, Gauhati University. His areas of research interest are computer vision-based gesture recognition for human computer interaction, sign language recognition etc.

Journal Publications:

 

 

 

 

  1. J. Ghosh, A. K. Talukdar and K. K. Sarma, “A Light-Weight Natural Scene Text Detection and Recognition System,” Multimedia Tools and Applications, Springer, 2023, doi: https://doi.org/10.1007/s11042-023-15696-0
  2. A. K. Talukdar and M. K. Bhuyan, "Vision-Based Continuous Sign Language Spotting Using Gaussian Hidden Markov Model," in IEEE Sensors Letters, vol. 6, no. 7, pp. 1-4, July 2022, Art no. 6002304, doi: 10.1109/LSENS.2022.3185181.
  3. A. K. Talukdar and M.K. Bhuyan, "A Framework for Continuous Fingerspelling Spotting for H.264/AVC Compressed Videos using Spatio-Temporal Markov Random Field", Multimedia Tools and Applications, Springer, 2021: 1-19.
  4. A. Choudhury, A. K. Talukdar, K. K. Sarma and M. K. Bhuyan, "An Adaptive Thresholding-Based Movement-Epenthesis Detection Technique Using Hybrid Feature Set for Continuous Fingerspelling Recognitiopn", SN Computer Science, Springer, Vol. 2, no. 2(2021):1-21
  5. A. Choudhury, A. K. Talukdar, M. K. Bhuyan and K. K. Sarma, "Movement Epenthesis Detection for Continuous Sign Language Recognition", Journal of Intelligent Systems, pp. 1-11, DOI:10.1515/jisys-2016-0009.
  6.  A. J. Das, A. K. Talukdar and K. K. Sarma, "An Adaptive Rayleigh-Laplacian Based MAP Estimation Technique for Despeckling SAR Images using Stationary Wavelet Transform", International Journal of Applied Evolutionary Computation (IJAEC), Vol. 4, issue 4, pp. 88-102, October-December, 2013, ISSN:1942-3594.

Conference Proceedings:

 

  1. D. Kalita, A. K. Talukdar, S. Deka and K. K. Sarma, "Vision-Based People Counting System for Indoor and Outdoor Environments using different Deep Learning Models," 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Prayagraj, India, 2024, pp. 1-6, doi: 10.1109/CVMI61877.2024.10782123.
  2. M. Medhi and A. K. Talukdar, "Leap Motion Sensor-based Learning-aid Tool using Hand Gesture Interfacing," Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023), pp. 117-129, doi:10.2991/978-94-6463-529-4_12.
  3. B. J. Boruah, A. K. Talukdar and K. K. Sarma, "Development of a Learning-aid tool using Hand Gesture Based Human Computer Interaction System," 2021 Advanced Communication Technologies and Signal Processing (ACTS), 2021, pp. 1-5, doi: 10.1109/ACTS53447.2021.9708354.
  4. S. Adhikary, A. K. Talukdar and K. Kumar Sarma, "A Vision-based System for Recognition of Words used in Indian Sign Language Using MediaPipe," 2021 Sixth International Conference on Image Information Processing (ICIIP), 2021, pp. 390-394, doi: 10.1109/ICIIP53038.2021.9702551.
  5. N. Sarma, A. K. Talukdar and K. K. Sarma, "Real-Time Indian Sign Language Recognition System using YOLOv3 Model," 2021 Sixth International Conference on Image Information Processing (ICIIP), 2021, pp. 445-449, doi: 10.1109/ICIIP53038.2021.9702611.
  6. M. Sarma, A. K. Talukdar and K. K. Sarma, "Deep Learning Based Face Mask Detection System for COVID-19 Control," 2021 Sixth International Conference on Image Information Processing (ICIIP), 2021, pp. 87-92, doi: 10.1109/ICIIP53038.2021.9702636.
  7. J. Ghosh, A. K. Talukdar and K. K. Sarma, "Design of a Light-weight Natural Scene Text Detection System", Proceedings of 2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 221-227, IEEE, May, 2021.
  8. D. Hatibaruah, A. K. Talukdar and K. K. Sarma, "A Static Hand-Gesture Based Sign Language Recognition System using Convolutional Neural Networks", Proceedings of 2020 IEEE 17th India Council International Conference (INDICON), pp. 1-6, December, 2020.
  9. S. Bhowmik, A. K. Talukdar and K. K. Sarma, "Detection of Disease in Tea Leaves using Convolutional Neural Network", Proceedings of International Conference on Advanced Communication Technologies and Signal Processing (ACTS), pp. 1-6, IEEE, Shillong, India, December 2020.
  10. N. Bordoloi, A. K. Talukdar and K. K. Sarma, "Suspicious Activity Detection from Videos using YOLOV3", Proceedings of 2020 IEEE 17th India Council International Conference (INDICON), pp. 1-5, December, 2020.
  11. R. Kalita, A. K. Talukdar and K. K. Sarma, "Real-Time Human Detection with Thermal Camera Feeding using YOLOV3", Proceedings of 2020 IEEE 17th India Council International Conference (INDICON), pp. 1-5, December, 2020.
  12. A. K. Talukdar and M. K. Bhuyan, "A Novel Global Motion Estimation and Compensation Framework in Compressed Domain for Sign Language Videos", Proceedings of International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 20-24, IEEE, 2020.
  13. G. Lahan, A. K. Talukdar and K. K. Sarma, "Action Recognition from Depth Video Sequences Using Microsoft Kinect", Proceedings of 2019 Fifth International Conference on Image Information Processing (ICIIP), pp. 35-40, Shimla, India, November, 2019, ISBN 978-1-7281-0899-5
  14. P. J. Das, A. K. Talukdar and K. K. Sarma, "A Framework For Human Behaviour Detection Using Combined Analysis of Facial Expression and Eye Gaze", Proceedings of 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), pp. 154-160, Shillong, India, march, 2019, ISBN 978-1-7281-0744-8.
  15.  A. K. Talukdar and M.K. Bhuyan, "Movement Epenthesis Detection in Continuous Fingerspelling from a Coarsely Sampled Motion Vector Field in H.264/AVC Video", Proceedings of IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 26-30, Thiruvananthapuram, India, December, 2018, ISBN 978-1-5386-7337-9.
  16. G. Baruah, A. K. Talukdar and K. K. Sarma, "A Robust Viewing Angle Independent Hand Gesture Recognition System", Proceedings of IEEE International Conference on Computing and Network Communication (CoCoNet' 15), pp. 842-847, Trivandrum, India, December, 2015.
  17. M. Laskar, A. J. Das, A. K. Talukdar and K. K. Sarma, "Real Time Disparity Computation and 3D Reprojection for Hand gesture Recognition", Proceeding of International Symposium on Advanced Computing and Communication", pp. 79-84, Silchar, India, September, 2015, ISBN 978-1-4673-6708-0.
  18.  S. P. Das, A. K. Talukdar and K. K. Sarma, "Sign Language Recognition using Facial Expression", Procedia Computer Science Second International Symposium on Computer Vision and Internet (VisionNet), Vol. 58, pp. 210-216, 2015, ISSN: 1877-0509.
  19.  M. Laskar, A. J. Das, A. K. Talukdar and K. K. Sarma, "Stereo Vision-based Hand Gesture Recognition under 3D Environment", Procedia Computer Science Second International Symposium on Computer Vision and The Internet (VisionNet), Vo. 58, pp. 194-201, 2015, ISSN:1877-0509.
  20.  S. Bhowmik, A. K. Talukdar and K. K. Sarma, "Continuous Hand Gesture Recognition for English Alphabets", Proceeding of IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 443-446, Noida, Delhi-NCR, India, February, 2015, ISBN: 978-1-4799-5991-4.
  21.  I. Hussain, A. K. Talukdar and K. K. sarma, "Hand Gesture Recognition System with Real T[ime Palm Tracking , " Proceeding of Annual IEEE India Conference (INDICON), pp. 1-6, Pune, India, December, 2014, ISBN: 978-1-4799-5364-6.
  22.  A. Choudhury, A. K. Talukdar and K. K. Sarma, "A Conditional Random Field Based Indian Sign Language Recognition System under Complex Background", Proceeding of IEEE Fourth International Conference on Computer Science and Network Technology (CSNT), pp. 900-904, Bhupal, India, April 2014.
  23.  A. Choudhury, A. K. Talukdar and K. K. Sarma, "A Novel Hand Segmentation Method for Multiple Hand Gesture Recognition System under Complex Background", Proceeding of IEEE International Conference on Signal Processing and Integrated Network (SPIN), pp. 136-140, Noida, Delhi-NCR, India, February 2014. ISBN: 978-1-4799-2866-8.
  24.  D. Mazumdar, A. K. Talukdar and K. K. Sarma, "Gloved and Free hand Tracking based Hand Gesture Recognition", Proceeding of International Conference on Emerging Trends and Applications in Computer Science (ICETACS), pp. 197-202, Shillong, India, September 2013, ISBN: 978-1-4673-5250-5.
  25.  M. Nayak, A. K. Talukdar and K. K. Sarma, "An Adaptive Algorithm for Hand segmentation and Tracking of Continuous Hand Posture Recognition", Proceedings of First International Conference on Mobile and Embedded Technology, Amity School of Engineering and Technology, Noida, India, 17-18 January, 2013.
  26. A. K. Das, A. K. Talukdar and K. K. Sarma, "A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling", Proceedings of First International conference on Mobile and Embedded Technology, Amity School of Engineering and Technology, Noida, India, 17-18 January, 2013.
  27. D. Mazumdar, A. K. Talukdar and K. K. Sarma, "A Vision-based Hand Segmentation Technique for Continuous Hand Gesture Recognition", Proceedings of First International Conference on Mobile and Embedded Technology, Amity School of Engineering and Technology, Noida, India, 17-18 January, 2013.

 Book Chapters:

  1. M. Enghi, A. K. Talukdar and K. K. Sarma, "Real-Time Detection of Natural Scene Assamese Texts using Deep Learning", In: Artificial Intelligence and Data Science based R & D Interventions, R. Bhattacharjee, D. R. Neog, K. R. Mopuri and S. K. Vipparthi Ed., Springer, 33-46, 2023, ISBN 978-981-99-2608-4.
  2. A. Sarkar, A. K. Talukdar and K. K. Sarma, CNN-Based Real-Time Indian Sign Language Recognition System, In: Advances in Computational Intelligence and Informatics, R. R. Chillarige, S. Distefano and S. S. Rawat Ed., Springer, 71-79, 2019, ISBN 978-981-15-3337-2.
  3. K. Mazumdar, A. K. Talukdar and K. K. Sarma, Moving Hand Segmentation from H.264 Compressed Sign Language Videos, In: Advances in Computational Intelligence and Informatics, R. R. Chillarige, S. Distefano and S. S. Rawat Ed., Springer, 63-70, 2019, ISBN 978-981-15-3337-2.(Best paper awarded at ICACII 2019).
  4.  D. Mazumder, M. Nayak and A. K. Talukdar,  Adaptive Hand Segmentation and Tracking for Continuous Hand Gesture Recognition, In: Recent trend in Intelligent and Emerging System, K. K. Sarma, M. P. Sarma and M. Sarma Ed., Springer Press , 115-124, 2015. ISBN 1860-4862.
  5.   A. Choudhury, A. K. Talukdar and K. K. Sarma, A Review on Vision Based Hand Gesture Recognition and Applications, In: Intelligent Applications for Heterogeneous System Modeling and Design, K. K. Sarma, M. P. Sarma and M. Sarma Ed., IGI Global Press, 256-281, 2015, ISBN 1466684933.
  6. A. K. Talukdar, Control System Engineering using MATLAB, In: Proceeding of National Level Workshop on MATLAB and Selected Applications, K. K. sarma, M. P. Sarma and M. Sarma Ed., Published by Department of ECE, Gauhati University, 141-152, 2012,  ISBN: 978-93-81691-08-3.

 

P.G. Level

U. G. Level:

  • Fellow, IETE
  • Member, IEEE
  • Life member, Assam Science Society
  1. The project titled “Development of a Cloud-Based Deep Learning Real-Time Sign Language Recognition System for Hearing Impaired People '' Funded by S & T Division, ASTE Council, Govt of Assam for a duration of two years (2020-2022), total funding amount 1.49 L. (Status: completed).System link
  2. The project titled “Development of a Deep Learning Real-Time Natural Scene Assamese Texts Translation System '' Funded by S & T Division, ASTE Council, Govt of Assam for a duration of one and half years (2022-2024), total funding amount 4.40 L. (Status: ongoing).

Facilities & Resources

Facilities
Resources
Some Important Links (Outside GU)