By Topic

Audience analysis solution using soft computing methodologies

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bhatt, R. ; Software R&D Center, Samsung India, India ; Khan, G.M. ; Kumar, S. ; Grandhi, D.G.

In this paper, we propose a pedestrian analysis solution helpful for adaptive content delivery and interest measurement for outdoor advertisement displays. The proposed system has built-in camera on the top panel of such displays which capture the real time viewers' frames. The captured frames have been analyzed for detection of faces using Viola-Jones algorithm. The detected faces have been processed with various image processing operations and age, gender, and race (ethnicity) parameters have been estimated using machine learning approaches. The current set of experiments has been generated using Classification and Regression Trees (CART) with Adaboost, Support vector machines (SVMs), Scalable boosting, and neural networks. Dimensionality reduction techniques and other optimizations have been adapted to make the system run efficiently on embedded devices. Computational experiments generated over thousands of real images and live video streams are encouraging and we plan to deploy the solution on large scale advertisement panels.

Published in:

Knowledge Engineering, 2010 8th International Conference on ICT and

Date of Conference:

24-25 Nov. 2010