Sciweavers

CAIP
2003
Springer
247views Image Analysis» more  CAIP 2003»
13 years 8 months ago
Object Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrian...
Qi Zang, Reinhard Klette
ATAL
2006
Springer
13 years 8 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso
SCALESPACE
1999
Springer
13 years 8 months ago
Morphing Active Contours
ÐA method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...
ICRA
1998
IEEE
103views Robotics» more  ICRA 1998»
13 years 8 months ago
Person Tracking by Integrating Optical Flow and Uniform Brightness Regions
1 Introducdion of them are based on subtraction his method cannot be applied to camera moves because the backion based method[2] works s, but object tracking is diffithe object ch...
Tsuyoshi Yamane, Yoshiaki Shirai, Jun Miura
ICIP
2002
IEEE
13 years 9 months ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann
ICCV
2003
IEEE
13 years 10 months ago
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
Joachim Denzler, Matthias Zobel, Heinrich Niemann
CVPR
2010
IEEE
13 years 10 months ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
13 years 10 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
MDM
2004
Springer
13 years 10 months ago
Prediction-Based Strategies for Energy Saving in Object Tracking Sensor Networks
In order to fully realize the potential of sensor networks, energy awareness should be incorporated into every stage of the network design and operation. In this paper, we address...
Yingqi Xu, Julian Winter, Wang-Chien Lee
DAGM
2004
Springer
13 years 10 months ago
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
Benjamin Deutsch, Matthias Zobel, Joachim Denzler,...