• Publications
  • Influence
Actions sketch: a novel action representation
  • A. Yilmaz, M. Shah
  • Mathematics, Computer Science
  • IEEE Computer Society Conference on Computer…
  • 20 June 2005
Spatio-temporal features are computed from a spatiotemporal volume (STV) by analyzing the differential geometric surface properties of STV. Expand
  • 481
  • 45
AGRIS: the Arabidopsis Gene Regulatory Information Server, an update
The Arabidopsis Gene Regulatory Information Server (AGRIS; http://arabidopsis.med.ohio-state.edu/) provides a comprehensive resource for gene regulatory studies in the model plantArabidopsis thaliana. Expand
  • 280
  • 30
  • PDF
Level Set Methods
  • A. Yilmaz
  • Mathematics, Computer Science
  • Wiley Encyclopedia of Computer Science and…
  • 14 December 2007
The shape of a real-world object can be represented by a parametric or a nonparametric contour in the image plane. Expand
  • 249
  • 29
View-Invariant Representation and Recognition of Actions
  • C. Rao, A. Yilmaz, M. Shah
  • Mathematics, Computer Science
  • International Journal of Computer Vision
  • 1 November 2002
In this paper, we present a computational representation of human action to capture these dramatic changes using spatio-temporal curvature of 2-D trajectory. Expand
  • 519
  • 24
  • PDF
Contour-based object tracking with occlusion handling in video acquired using mobile cameras
  • A. Yilmaz, Xin Li, M. Shah
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 November 2004
We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Expand
  • 571
  • 18
  • PDF
Recognizing human actions in videos acquired by uncalibrated moving cameras
  • A. Yilmaz, M. Shah
  • Computer Science
  • Tenth IEEE International Conference on Computer…
  • 17 October 2005
We propose to extend the standard epipolar geometry to the geometry of dynamic scenes where the cameras are moving. Expand
  • 194
  • 17
  • PDF
Estimating driving behavior by a smartphone
In this paper, we propose an approach to understand the driver behavior using smartphone sensors and estimate commuting safety by statistically analyzing driver behavior. Expand
  • 224
  • 14
Target tracking in airborne forward looking infrared imagery
In this paper, we present a robust approach for tracking targets in forward looking infrared (FLIR) imagery taken from an airborne moving platform. Expand
  • 248
  • 13
  • PDF
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
  • A. Yilmaz
  • Mathematics, Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 17 June 2007
We present an object tracking method based on the asymmetric kernel mean shift, in which the scale and orientation of the kernel adaptively change depending on the observations at each iteration. Expand
  • 198
  • 9
  • PDF
Actions As Objects : A Novel Action Representation
In this paper, we propose to model an action based on both the shape and the motion of the object performing the action. When the object performs an action in 3D, the points on the outer boundary ofExpand
  • 39
  • 5
  • PDF