Indiana University Bloomington

School of Informatics and Computing


Computer Science Program







 Home

 Contacts

 Courses

 Academics

 Careers

 Research

 People

 Calendar

 Resources

 Facilities



Pervasive Technology Labs

Computing Research Association

Association for Computing Machinery

Technical Report TR612:
A Vision System for Automated Customer Tracking for Marketing Analysis: Low Level Feature Extraction

Alex Leykin and Mihran Tuceryan
(Jun 2005), 10 pages
Abstract:
We present the first stages of a system that tracks customers in a store with the goal of activity analysis. The ultimate goal is to provide a tool for making various marketing decisions. In this paper, we focus on the low level processing methods for determining the position of the customers in the store. We present a method to extract the low-level head coordinates to be further used for tracking customers in the crowded situations. The algorithm relies on the knowledge of image vanishing points that are used to compute a "vanishing point projection histogram" as well as to extract camera calibration parameters. Vanishing points and scale factor can be computed with the help of a simple interactive interface that we also present in this paper.

Available as:

There is help available if you want further information about the available file formats and software to display and print these files.

Return to the Technical Report Index








Valid HTML 4.01!