Home -> Projects ->Flow-Based Background Estimation Member Login  

Jump to: Publications

 Description

In this work, we address the detection of vehicles in a video stream obtained from a moving airborne platform. We propose a Bayesian framework for estimating dense optical flow over time that explicitly estimates a persistent model of background appearance. We use an approach that integrates dense optic flow over time to maintain a model of background appearance and a foreground occlusion layer mask.

 Demos

Result Video 1: Smalls cars

Download: avi [8.7MB]
Result Video 2: Occlusion and Shadows

Download: avi [25MB]
Result Video 3: Occlusion and Motion Parallax

Download: avi [23MB]
Result Video 4: Small cars

Download: avi [19MB]
Result Video 5: Thermal sequence with changing camera gain

Download: avi [12MB]

 Publications