An integer programming approach to visual compliance

Visual compliance has emerged as a new paradigm to ensure that employees comply with processes and policies in a business context. In this paper, we focus on videos from retail stores and formulate a binary integer program for detecting checkout events, which enables enforcing visual compliance in s...

Full description

Saved in:
Bibliographic Details
Main Authors: Lei Ding, Quanfu Fan, Pankanti, S
Format: Conference Proceeding
Language:English
Subjects:
Event detection
Feature extraction
Linear programming
Optimization
optimization methods
Video signal processing
Videos
Visualization
Viterbi algorithm
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Visual compliance has emerged as a new paradigm to ensure that employees comply with processes and policies in a business context. In this paper, we focus on videos from retail stores and formulate a binary integer program for detecting checkout events, which enables enforcing visual compliance in such an environment. The proposed integer program maximizes the essential quantities that characterize true events of interest, subject to an array of constraints. In particular, the binary decision variables correspond to the presence of a set of hypothesized visual events. In the objective function, the binary variables are weighted by quality measures derived from infinite Gaussian mixture modeling of the video content, such that maximizing the overall quality measure is expected to uncover the meaningful visual events. Our framework is tested and validated on videos recorded at checkout lanes, and leads to better performance than previous methods.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2010.5653908