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» Surrogate data: A novel approach to object detection
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VMV
2001
101views Visualization» more  VMV 2001»
14 years 11 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
IJRR
2008
242views more  IJRR 2008»
14 years 9 months ago
Bilateral Symmetry Detection for Real-time Robotics Applications
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Wai Ho Li, Alan M. Zhang, Lindsay Kleeman
ROBVIS
2001
Springer
151views Robotics» more  ROBVIS 2001»
15 years 2 months ago
HORUS: Object Orientation and Id without Additional Markers
This paper describes a novel approach to detecting orientation and identity of robots using a global vision system. Instead of additional markers, the original shape of the robot ...
Jacky Baltes
SSD
2005
Springer
153views Database» more  SSD 2005»
15 years 3 months ago
Change Detection in Time Series Data Using Wavelet Footprints
In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
Mehdi Sharifzadeh, Farnaz Azmoodeh, Cyrus Shahabi
CVPR
2012
IEEE
13 years 5 days ago
Discovering important people and objects for egocentric video summarization
We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the came...
Yong Jae Lee, Joydeep Ghosh, Kristen Grauman