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» A Computational Framework for Handling Motion
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CVPR
2009
IEEE
15 years 3 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
CVPR
2010
IEEE
14 years 1 months ago
Motion Detail Preserving Optical Flow Estimation
We discuss the cause of a severe optical flow estimation problem that fine motion structures cannot always be correctly reconstructed in the commonly employed multiscale variati...
Li Xu, Jiaya Jia, Yasuyuki Matsushita
ICPR
2010
IEEE
13 years 5 months ago
Adaptive Motion Model for Human Tracking Using Particle Filter
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
Mohammad Hossein Ghaeminia, Amir Hossein Shabani, ...
ICCV
2011
IEEE
12 years 8 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
CVPR
2005
IEEE
14 years 10 months ago
Appearance-Guided Particle Filtering for Articulated Hand Tracking
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung