As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Segmentation Y.Xu (1) ,P.Duygulu, E.Saber, A.M. Tekalp, F.T.Yarman-Vural (1). Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627 E-mail: {yaxu, saber, tekalp}@ece.rochester.edu (2)Department of Computer Engineering, Middle East Technical University,Ankara,Turkey,TR-06531 E-mail:{duygulu,vural}@ceng.metu.edu.tr (3). Xerox Corporation, 800 Phillips Roa...

SCRIPT-INDEPENDENT TEXT LINE SEGMENTATION IN FREESTYLE HANDWRITTEN DOCUMENTS LI Yi, Yefeng Zheng, David Doermann, and Stefan Jaeger Language and Media Processing Laboratory Institute for Advanced Computer Studies University of Maryland, College Park, MD 20742-3275 {liyi,doermann,jaeger}@umiacs.umd.edu and Siemens Corporate Research 755 College Road East, Princeton, NJ 08540 yefeng.zheng@siemens...

Many studies and publications have been written about the use of moving object analysis to locate a specific item or replace lost in video sequences. Using semantic analysis, it could be challenging pinpoint each meaning follow movement objects. Some machine learning algorithms turned right interpretation photos recordings communicate coherently. The technique converts visual patterns features ...

WEI, CHUNPENG. Driver Assistant System: Robust Segmentation based on Topological Persistent Analysis and Multi-target Tracking based on Dynamic Programming. (Under the direction of Dr. Edgar Lobaton.) This thesis work mainly focus on two topics. First, a new methodology for robust segmentation of obstacles from stereo disparity maps in an on-road environment is presented. The thesis work first ...

While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving. Towards this goal, we present an approach to joint classification, detection and semantic segmentation via a unified architecture where the encoder is shared amongst the three t...

In this paper, we discuss our e ort to develop a motion estimation algorithm based on variable block size, which reduces computational complexity dramatically while maintaining good picture quality as well as high compression ratio. A key step in this work is to segment each image frame into di erent regions using a simple binary-level classi er which performs bit-wise comparison. In the second...

In the urban object detection challenge organized by the ISPRS WG III/4 high geometric and radiometric resolution aerial images about Vaihingen/Stuttgart, Germany are distributed. The acquired data set contains optical false color, near infrared images and airborne laserscanning data. The presented research focused exclusively on the optical image, so the elevation information was ignored. The ...

This paper deals with road detection in an outdoor environment. By comparison with preceding approaches, which use various sensors, our system uses only a monocular camera. In this paper, we propose a novel approach a fusion of frequency based vanishing point estimation and probabilistically based color segmentation.