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» A Framework for Representing Moving Objects
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CVPR
2009
IEEE
15 years 7 months ago
Motion pattern interpretation and detection for tracking moving vehicles in airborne video
Detection and tracking of moving vehicles in airborne videos is a challenging problem. Many approaches have been proposed to improve motion segmentation on frameby-frame and pixel...
Gérard G. Medioni, Qian Yu
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 4 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
83
Voted
ICPR
2006
IEEE
15 years 10 months ago
Multi-layer Mosaics in the Presence of Motion and Depth Effects
In this paper, we present a new segmentation-based 2D mosaic framework. Most of current mosaic algorithms do not explicitly remove moving objects from images before registration, ...
Changki Min, Gérard G. Medioni, Qian Yu
AIPR
2003
IEEE
15 years 3 months ago
Stereo Mosaics with Slanting Parallel Projections from Many Cameras or a Moving Camera
This paper presents an approach of fusing images from many video cameras or a moving video camera with external orientation data (e.g. GPS and INS data) into a few mosaiced images...
Zhigang Zhu
80
Voted
ICCV
2005
IEEE
15 years 11 months ago
A Maximum Entropy Framework for Part-Based Texture and Object Recognition
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce