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» Using Histograms to Detect and Track Objects in Color Video
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CVPR
2012
IEEE
11 years 10 months ago
Using scene features to improve wide-area video surveillance
We introduce two novel methods to improve the performance of wide area video surveillance applications by using scene features. First, we evaluate the drift in intrinsic and extri...
Ziyan Wu, Richard J. Radke
ITIIS
2010
343views more  ITIIS 2010»
13 years 2 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee
ICPR
2010
IEEE
14 years 1 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...
ICPR
2006
IEEE
14 years 1 months ago
A Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition
This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colou...
George Awad, Junwei Han, Alistair Sutherland
IROS
2008
IEEE
238views Robotics» more  IROS 2008»
14 years 2 months ago
Shape-guided superpixel grouping for trail detection and tracking
Abstract— We describe a framework for detecting and tracking continuous ”trails” in images and image sequences for autonomous robot navigation. Continuous trails are extended...
Christopher Rasmussen, Donald Scott