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» Generating Network-Based Moving Objects
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ICPR
2002
IEEE
14 years 11 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
ICCV
1999
IEEE
14 years 2 months ago
Real-Time Object Detection for "Smart" Vehicles
This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a tem...
Dariu Gavrila, Vasanth Philomin
ICIP
2004
IEEE
14 years 11 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
DAGM
2006
Springer
14 years 1 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
JVCA
2006
87views more  JVCA 2006»
13 years 10 months ago
Tour into the picture with water surface reflection and object movements
Given a still picture, tour into the picture (TIP) generates a walk-through animation of a 3D scene constructed from the picture. In this paper, we generalize TIP to deal with wat...
Jinho Park, Nambin Heo, Sunghee Choi, Sung Yong Sh...