Sciweavers

199 search results - page 10 / 40
» Moving Shadow and Object Detection in Traffic Scenes
Sort
View
ECCV
2000
Springer
14 years 9 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 8 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang

Publication
396views
14 years 4 months ago
Detecting Abandoned Objects with A Moving Camera
This paper presents a novel framework for detecting non-flat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera...
Hui Kong, Jean-Yves Audibert and Jean Ponce
CVPR
2004
IEEE
14 years 9 months ago
Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language
This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on ...
Christian Köhler
CVPR
2011
IEEE
13 years 2 months ago
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
Alexandros Panagopoulos, Chaohui Wang, Dimitris Sa...