Arslan Basharat

Arslan Basharat

Assistant Director of Computer Vision

Dr. Basharat serves as Assistant Director of the Computer Vision group at Kitware, which he joined in 2009 as an R&D Engineer. He has undertaken roles of research, software development, project management, business development, and personnel management over the years. He has served as a Principal Investigator (PI) or project lead on a variety of software research and development projects sponsored by government organizations including DARPA, AFRL, SOCOM, NGA, and ONR. He has performed research in various areas of computer vision, including object detection and tracking, anomaly detection, activity recognition, dynamical systems in videos, imagery forensics, and imagery retrieval.

Dr. Basharat has served as the overall PI on various projects. For instance, on the DARPA Media Forensics program, he is leading a team of five universities developing state-of-the-art technology for visual media forensics, defending against falsified images and videos like Deepfakes. He has also served as a PI on other efforts, like AFRL Multi-INT Enhanced Exploitation and Analysis Tools (E2AT), AFRL C4ISR Enterprise to the Edge (CETE), ONR Maritime Surveillance and a few SBIR projects. He has also led or contributed to other research projects big and small, including unique efforts like DARPA Probabilistic Programming for Advancing Machine Learning (PPAML), and Crowd Analysis seedling. Earlier in his tenure at Kitware, he led the research and development of object detection and tracking in aerial imagery through DARPA Video and Image Retrieval and Analysis Toolkit (VIRAT), Persistent Stare Exploitation and Analysis System (PerSEAS) and other related projects. Some of the software developed by him on these efforts is part of open source Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit. Dr. Basharat was a key contributor to the algorithms and software of the full-frame, real-time, multiobject tracker for Wide Area Motion Imagery that was successfully used in live operation.

Dr. Basharat received an M.S. and Ph.D. in Computer Science from the University of Central Florida in 2006 and 2009, respectively. Prior to that, he worked as a Software Design Engineer in Pakistan for two years after receiving a B.S. in Computer System Engineering from GIK Institute (GIKI), Pakistan in 2001. He regularly serves on the program committees of various premier conferences including Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), International Conference on Image Processing (ICIP), Association for the Advancement of Artificial Intelligence (AAAI) and Winter Conference on Applications of Computer Vision (WACV). He has also served as a reviewer for research journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition Letters, Machine Vision and Application (MVA), and EURASIP Journal on Advances in Signal Processing. He served as Local Arrangements Chair and Website Chair for the IEEE WACV 2016. 

He has several research publications in the premier peer-reviewed conferences and journals. A list of his publications is provided below and on Google Scholar profile. Additional publications by his colleagues from the group are listed under Computer Vision Publications.  

  1. C. Long, A. Basharat, and A. Hoogs, "A coarse-to-fine deep convolutional neural network framework for frame duplication detection and localization in forged videos," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Media Forensics, 2019.
  2. D. Chittajallu, A. Basharat, P. Tunison, S. Horvath, K. Wells, S. Leeds, J. Fleshman, G. Sankaranarayanan, and A. Enquobahrie, "Content-based retrieval of video segments from minimally invasive surgery videos using deep convolutional video descriptors and iterative query refinement," in Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 2019.
  3. J. Crall, J. Becker, P. Tunison, M. Dawkins, A. Basharat, R. Blue, M. Turek, and A. Hoogs, "Deep Learning for Small Object Detection in Satellite Infrared Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  4. A. Basharat, P. Tunison, and A. Hoogs, "Rapid Learning of Maritime Scenes Through Query Refinement," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  5. C. Long, E. Smith, A. Basharat, and A. Hoogs, "A C3D-based convolutional neural network for frame dropping detection in a single video shot," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Media Forensics, 2017. [URL]
  6. J. Moeller, E. Smith, A. Basharat, M. Turek, A. Hoogs, and E. Blasch, "Automatic pattern of life learning in satellite images through graph kernels," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
  7. R. Porter, A. Basharat, R. Collins, M. Turek, and A. Hoogs, "Training and evaluating object detection pipelines with connected components," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2016. [URL]
  8. M. Dawkins, A. Basharat, J. Becker, M. Turek, and A. Hoogs, "Deep architecture for small mover detection in overhead infrared imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
  9. K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman, "Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering," in 2016 23rd International Conference on Pattern Recognition (ICPR), 2016. [URL]
  10. M. Dawkins, Z. Sun, J. Becker, A. Basharat, A. Hoogs, and M. Turek, "Track Object Type Classification Across a Range of Scales and Types of Video," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
  11. M. Turek, A. Basharat, K. Fieldhouse, P. Tunison, D. Stoup, C. Atkins, and A. Hoogs, "Real-time, full-frame wide area motion imagery analytics," in Proceedings of the MSS National Symposium on Passive Sensors, 2015.
  12. A. Hoogs, A. Perera, R. Collins, A. Basharat, K. Fieldhouse, C. Atkins, L. Sherrill, B. Boeckel, R. Blue, M. Woehlke, C. Greco, Z. Sun, E. Swears, N. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, A. Srivastava, S. Khanwalkar, A. Kumar, C. Chen, J. Aggarwal, L. Davis, Y. Yacoob, A. Jain, D. Liu, S. Chang, B. Song, A. Roy-Chowdhury, K. Sullivan, J. Tesic, S. Chandrasekaran, B. Manjunath, X. Wang, Q. Ji, K. Reddy, J. Liu, M. Shah, K. Chang, T. Chen, and M. Desai, "An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2015. [URL]
  13. K. Fieldhouse, M. Leotta, A. Basharat, R. Blue, D. Stoup, C. Atkins, L. Sherrill, B. Boeckel, P. Tunison, J. Becker, M. Dawkins, M. Woehlke, R. Collins, M. Turek, and A. Hoogs, "KWIVER: An open source cross-platform video exploitation framework," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2014. [URL]
  14. E. Swears, A. Basharat, A. Hoogs, and E. Blasch, "Probabilistic sub-GRAph Matching (PGRAM) for video and text fusion," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2014.
  15. A. Basharat, M. Turek, Yiliang Xu, C. Atkins, D. Stoup, K. Fieldhouse, P. Tunison, and A. Hoogs, "Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014. [URL]
  16. A. Basharat, I. Arpinar, S. Dastgheib, U. Kursuncu, K. Kochut, and E. Dogdu, "CrowdLink: Crowdsourcing for Large-Scale Linked Data Management," in 2014 IEEE International Conference on Semantic Computing, 2014. [URL]
  17. M. Dawkins, Z. Sun, A. Basharat, A. Perera, and A. Hoogs, "Tracking nautical objects in real-time via layered saliency detection," in SPIE Defense, Security, and Sensing Motion Imagery for ISR and Situational Awareness, 2014. [URL]
  18. E. Blasch, J. Nagy, A. Aved, E. Jones, W. Pottenger, A. Basharat, A. Hoogs, M. Schneider, R. Hammoud, G. Chen, D. Shen, and H. Ling, "Context aided video-to-text information fusion," in International Conference on Information Fusion, 2014.
  19. Y. Xu, A. Basharat, J. Becker, and A. Hoogs, "Complex algorithm optimization through probabilistic search of its configuration tree," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2014. [URL]
  20. M. Ryoo, A. Hoogs, A. Basharat, and S. Oh, "Human activity recognition for visual surveillance," presented at 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2012. [URL]
  21. A. Basharat, W. Turner, G. Stephens, B. Badillo, R. Lumpkin, P. Andre, and A. Perera, "Tracking flow of leukocytes in blood for drug analysis," in SPIE Real-Time Image and Video Processing, 2011. [URL]
  22. N. Cuntoor, A. Basharat, A. Perera, and A. Hoogs, "Track Initialization in Low Frame Rate and Low Resolution Videos," in Proceedings of the IEEE International Conference on Pattern Recognition, 2010. [URL]
  23. A. Basharat and M. Shah, "Time series prediction by chaotic modeling of nonlinear dynamical systems," in Proceedings of the IEEE International Conference on Computer Vision, 2009. [URL]
  24. A. Basharat, Y. Zhai, and M. Shah, "Content based video matching using spatiotemporal volumes," Computer Vision and Image Understanding, vol. 110, no. 3, pp. 360-377, Jun. 2008. [URL]
  25. A. Basharat, A. Gritai, and M. Shah, "Learning object motion patterns for anomaly detection and improved object detection," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008. [URL]
  26. A. Gritai, A. Basharat, and M. Shah, "Geometric constraints on 2D action models for tracking human body," in Proceedings of the IEEE International Conference on Pattern Recognition, 2008. [URL]
  27. A. Miller, A. Basharat, B. White, J. Liu, and M. Shah, "Person and Vehicle Tracking in Surveillance Video," in Multimodal Technologies for Perception of Humans. Springer Berlin Heidelberg, 2008, pp. 174-178. [URL]
  28. S. Ali, A. Basharat, and M. Shah, "Chaotic Invariants for human action recognition," in Proceedings of the IEEE International Conference on Computer Vision, 2007. [URL]
  29. E. Blasch, H. Ling, D. Shen, G. Chen, R. Hammound, A. Basharat, R. Collins, A. Aved, and J. Nagy, "Video-to-text information fusion evaluation for level 5 user refinement," in 2015 18th International Conference on Information Fusion (Fusion), 2006.
  30. M. Shah, A. Hakeem, and A. Basharat, "Detection and tracking of objects from multiple airborne cameras," SPIE Newsroom, 2006. [URL]
  31. J. Liu, Y. Zhai, A. Basharat, B. Orhan, S. Khan, H. Noor, P. Berkowitz, and M. Shah, "University of Central Florida at TRECVID 2006 High-Level Feature Extraction and Video Search," in TREC Video Retrieval Evaluation Forum, 2006.
  32. A. Basharat, A. Hakeem, M. Shah, and A. Mahalanobis, "Automatic Target Detection and Recognition in Video Sensor Network with Stationary and Mobile Nodes," OE Magazine, 2005.
  33. A. Basharat, N. Catbas, and Mubarak Shah, "A framework for intelligent sensor network with video camera for structural health monitoring of bridges," in International Conference on Pervasive Computing and Communications Workshops, 2005. [URL]
  34. Y. Zhai, J. Liu, X. Cao, A. Basharat, A. Hakeem, S. Ali, M. Shah, C. Grana, and R. Cucchiarra, "Video Understanding and Content-Based Retrieval," in TREC Video Retrieval Evaluation Forum, 2005.
  35. F. Catbas, M. Shah, J. Burkett, and A. Basharat, "Challenges in structural health monitoring," in International Workshop on Structural Control, 2004.

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