A. Yilmaz

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

AGRIS: the Arabidopsis Gene Regulatory Information Server, an update

A. Yilmaz, M. Mejía-Guerra, K. Kurz, X. Liang, L. Welch, E. Grotewold
Biology, Medicine
Nucleic Acids Res.
8 November 2010

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

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

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

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

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

Estimating driving behavior by a smartphone

H. Eren, S. Makinist, E. Akin, A. Yilmaz
Engineering, Computer Science
IEEE Intelligent Vehicles Symposium
3 June 2012

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

Target tracking in airborne forward looking infrared imagery

A. Yilmaz, Khurram Shafique, M. Shah
Mathematics, Computer Science
Image Vis. Comput.
1 July 2003

In this paper, we present a robust approach for tracking targets in forward looking infrared (FLIR) imagery taken from an airborne moving platform. Expand

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

Actions As Objects : A Novel Action Representation

A. Yilmaz, M. Shah
2005

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 of… Expand

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