Human Activity Recognition in Retail Stores Using Video Analysis

Dr. Mihran Tuceryan

Alex Leykin (PhD student)

In collaboration with Prof. Raymond Burke from Kelley School of Business at IU Bloomington.

 

This project focuses on developing automated video analysis techniques for tracking customers in retail stores with the goal of recognizing various customer activities that may be relevant for marketing analysis. The approach utilizes low-level segmentation and tracking methods, mapping the customers to the floor plan, identifying events such as dwelling in front of store shelves, group formations by customers, etc.

 

Publications

  1. Alex Leykin and Mihran Tuceryan (2007). Detecting Shopper Groups in Video Sequences, in CD-ROM Proceedings of the IEEE International Conference on Advanced Video and Signal based Surveillance, London, UK, September 2007.
  2. Alex Leykin and Mihran Tuceryan (2005). Customer Tracking for Marketing Analysis, Technical Report no. TR-612, Computer Science Department, Indiana University.
  3. Alex  Leykin and Mihran Tuceryan (2005). Tracking and Activity Analysis in Retail Environments, Technical Report no. TR-620, Computer Science Department, Indiana University.
  4. Alex Leykin and Mihran Tuceryan (2005). "A vision system for automated customer tracking for marketing analysis: low level feature extraction." Proceedings of the International Workshop on Human Activity Recognition and Modelling (HAREM 2005), pp. 1-7, Oxford, UK.
  5. Alex Leykin, Florin Cutzu and Mihran Tuceryan (2004) "Using Multiple Views To Resolve Human Body Tracking Ambiguities." In Proceedings of British Machine Vision Conference (BMVC 2004), pp. 217-226, Sept 7-9, 2004, London, UK.