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ICPR
2002
IEEE
16 years 6 months ago
Object Segmentation and Tracking Using Video Locales
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that s...
James Au, Ze-Nian Li, Mark S. Drew
ROBOCUP
2009
Springer
214views Robotics» more  ROBOCUP 2009»
15 years 11 months ago
Real-Time Ball Tracking in a Semi-automated Foosball Table
In this article a method is proposed for ball tracking using 100 Hz computer vision in a semi-automated foosball table. In this application the behavior of the ball is highly dynam...
Rob Janssen, Jeroen de Best, René van de Mo...
AVSS
2007
IEEE
15 years 11 months ago
Classifying and tracking multiple persons for proactive surveillance of mass transport systems
We describe a pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. The features sele...
Suyu Kong, Conrad Sanderson, Brian C. Lovell
ACCV
2007
Springer
15 years 11 months ago
Spatiotemporal Oriented Energy Features for Visual Tracking
This paper presents a novel feature set for visual tracking that is derived from “oriented energies”. More specifically, energy measures are used to capture a target’s multi...
Kevin Cannons, Richard Wildes
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
15 years 11 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi