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» Tracking objects in video using motion and appearance models
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ICPR
2004
IEEE
14 years 9 months ago
Kernel-Based Method for Tracking Objects with Rotation and Translation
This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an ?-n...
Haihong Zhang, Liyuan Li, Weimin Huang, Zhiyong Hu...
ICPR
2002
IEEE
14 years 9 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
14 years 2 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
ECCV
2008
Springer
14 years 10 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
ICCV
2009
IEEE
13 years 6 months ago
Video object segmentation by tracking regions
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
William Brendel, Sinisa Todorovic