Yaser Yacoob is an associate research scientist in UMIACS.
His research focuses on detection, tracking and recognition of face expressions, lip reading, body part tracking, modeling and recognition of human activities, augmented reality, human appearance analysis, motion analysis and image segmentation. Moreover, Yacoob developed interactive robots and demonstrated their potential for engaging humans in games and communication.
He has served as a program committee member on several workshops and computer vision conferences. Yacoob has played a role in conducting basic research under many DoD programs sponsored by DARPA, IARPA, and ONR.
He received his doctorate in computer science from the University of Maryland in 1994.
2009. Segmentation using appearance of mesostructure roughness. International journal of computer vision. 83(3):248-273.
2007. Segmentation using Meta-texture Saliency. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. :1-8.
2006. Employing the Hand as an Interface Device. Journal of Multimedia. 1(7)
2006. Detection and analysis of hair. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 28(7):1164-1169.
2006. Parametric Hand Tracking for Recognition of Virtual Drawings. Computer Vision Systems, 2006 ICVS '06. IEEE International Conference on. :6-6.
2006. Segmentation of planar objects and their shadows in motion sequences. International journal of computer vision. 67(1):53-69.
2006. Employing the hand as an interface device. Journal of Multimedia. 1(7):18-29.
2005. Detection, analysis and matching of hair. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 1:741-748Vol.1-741-748Vol.1.
2003. Exemplar-based tracking and recognition of arm gestures. Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on. 2:656-661Vol.2-656-661Vol.2.
2003. Learning dynamics for exemplar-based gesture recognition. Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on. 1:I-571-I-578vol.1-I-571-I-578vol.1.
2002. Embedded grammar tags: advancing natural language interaction on the Web. Intelligent Systems, IEEE. 17(1):48-53.
2002. Smiling faces are better for face recognition. Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002. Proceedings. :52-57.
2001. Gesture-Driven Control of Spaces and Objects in Collaborative Augmented Reality. GMD–Forschungszentrum Informationstechnik GmbH. :49-49.
2001. Facilitating semantic web search with embedded grammar tags. IJCAI Workshop on E-Business and Intelligent Web.
2001. Attentive toys. International Conference on Multimedia and Expo. 22:25-25.
2000. A probabilistic framework for rigid and non-rigid appearance based tracking and recognition. Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on. :491-498.
2000. Robustly estimating changes in image appearance. Computer Vision and Image Understanding. 78(1):8-31.
2000. Learned models for estimation of rigid and articulated human motion from stationary or moving camera. International Journal of Computer Vision. 36(1):5-30.
2000. Design and use of linear models for image motion analysis. International Journal of Computer Vision. 36(3):171-193.
1999. Estimation of composite object and camera image motion. The Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. 1:190-197vol.1-190-197vol.1.
1999. Tracking rigid motion using a compact-structure constraint. Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on. 1:198-205vol.1-198-205vol.1.
1999. Temporal multi-scale models for flow and acceleration. International Journal of Computer Vision. 32(2):147-163.
1998. Parameterized modeling and recognition of activities. Computer Vision, 1998. Sixth International Conference on. :120-127.
1998. A framework for modeling appearance change in image sequences. Computer Vision, 1998. Sixth International Conference on. :660-667.
1997. Visual surveillance of human activity. Computer Vision—ACCV'98. :267-274.
1997. Temporal Multi-scale Models for Image Motion Estimation. Image Understanding Workshop: proceedings of a workshop held in New Orleans, Louisiana, May 11-14, 1997. 1:135-135.
1997. Learning parameterized models of image motion. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. :561-567.
1996. Recognition of head gestures using hidden markov models. Pattern Recognition, 1996., Proceedings of the 13th International Conference on. 3:461-465.
1996. Recognizing human facial expressions from long image sequences using optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(6):636-642.
1996. Computing 3-D head orientation from a monocular image sequence. Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on. :242-247.
1995. Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion. Computer Vision, 1995. Proceedings., Fifth International Conference on. :374-381.
1994. Labeling of Human Face Components from Range Data. CVGIP: Image Understanding. 60(2):168-178.
1993. Early vision processing using a multi-stage diffusion process. 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93. :41-46.
1992. Ground and airborne localization over rough terrain using random environmental range-measurements. Pattern Recognition, 1992. Vol. I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on. :403-406.
1990. Displaying voxel-based objects according to their qualitative shape synthesis. Proceedings of the 1st conference on Visualization'90. :51-58.
1989. 3D object recognition via simulated particles diffusion. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89. :442-449.