ATTENTION: This is a web archive! The IMS Group was split up in 2018 and does not exist anymore. Recent work of former members can be found at the VR/AR Group and the Computer Vision Group.

Interactive Media Systems, TU Wien

Fast Pedestrian Tracking Based on Spatial Features and Colour, CVWW

By Florian Seitner and Alan Hanbury

Abstract

A tracking with appearance modelling system for pedestrians is described. For pedestrian detection a cascade of boosted classiers and Haar-like rectangular features are used. Statistical modelling in the HSV colour space is used for adaptive background modelling and subtraction, where the use of circular statistics for hue is proposed. A clipping algorithm based on this background model and extensions to the traditional boosted classifier for fast classification are introduced. By using the background model in combination with the detector, the system extracts a feature vector based on colour statistics and spatial information. Circular and linear statistics are applied on the extracted features to robustly track the pedestrians and other moving objects. An adaptive appearance model copes with partial or full occlusions and addresses the problem of missing or wrong detections in single frames.

Reference

11th Computer Vision Winter Workshop (CVWW), Telc, Czech Republik, 6-8.2.2006, ISBN: 80-239-6530-1, Pages 105 - 110, 2006.