Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection

Pedestrian Detection with near and Far Infrared Night Vision Enhancement

Pedestrian Detection in Infrared Images

This paper describes an approach for pedestrian detection in infrared images. The developed system has been implemented on an experimental vehicle equipped with an infrared camera and preliminarily tested in different situations. It is based on the localization of warm symmetrical objects with specific size and aspect ratio; since also road infrastructures and other road participants may have s...

Nonlinear Background Filter to Improve Pedestrian Detection

In this paper, we propose a simple nonlinear filter which improves the detection of pedestrians walking in a video. We do so by first cumulating temporal gradient of moving objects into a motion history image (MHI). Then we apply to each frame of the video a motion-guided nonlinear filter whose goal is to smudge out background details while leaving untouched foreground moving objects. The resul...

Post Processing Pedestrian Detection with Background Cues

In this project, I develop an approach to post process local pedestrian detection by incorporating cues from the background. This approach uses a combination of several location specific color classifiers to quickly reduce the number of the local detector responses by discarding improbable results. An experimental method for color comparison is explored in this project to supplement existing te...

Far infrared pedestrian detection and tracking for night driving

6 This paper presents a module for pedestrian detection from a 7 moving vehicle in low-light conditions. The algorithm make 8 use of a single far infrared camera based on a microbolometer. 9 Images of the area ahead of the vehicle are analyzed 10 to determine if any pedestrian might be in its trajectory. 11 Detection is achieved by searching for distributions of 12 temperatures in the scene sim...