Arslan Basharat

Arslan Basharat

Technical Leader

Arslan Basharat completed B.S. in Computer System Engineering from GIK Institute (GIKI), Pakistan in 2001. He worked as a Software Design Engineer for a local system design firm in Pakistan from 2001 to 2003. He received M.S. in 2006 and Ph.D. in Computer Science in 2009 from University of Central Florida (UCF). Arslan has been involved in various research and development projects at the Computer Vision Lab at UCF under the supervision of Dr. Mubarak Shah. Details of these projects and related publications are available here.

His research interests lie in the areas of computer vision, machine learning, video processing, scene modeling, and activity analysis.

Arslan joined the Computer Vision Group at Kitware as an R&D Engineer in January 2009. At Kitware, he has been contributing to various research and development projects with emphasis on object detection and tracking in aerial videos.

  1. 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]
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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]
  7. 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 Applied Imagery Pattern Recognition Workshop, 2014. [URL]
  8. 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.
  9. 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]
  10. 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]
  11. 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.
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. M. Shah, A. Hakeem, and A. Basharat, "Detection and tracking of objects from multiple airborne cameras," SPIE Newsroom, 2006. [URL]
  22. 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.
  23. 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.
  24. 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]
  25. 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.
  26. F. Catbas, M. Shah, J. Burkett, and A. Basharat, "Challenges in structural health monitoring," in International Workshop on Structural Control, 2004.