Motion Flow Tracking in Unconstrained Videos for Retail Scenario

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Eduardo Pereira (Author) FEUP; Jaime Cardoso (Author) FEUP; Ricardo Morla (Author) FEUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2013

Pages: 340-349

6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Funchal, PORTUGAL, JUN 05-07, 2013

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-008-DEH

DOI: 10.1007/978-3-642-38628-2_40

Abstract (EN): We present a complete and modular framework that extract trajectories in a real and complex retail scenario, under unconstrained video conditions. Two motion tracking algorithms that combine features from crowd motion detection and multiple tracking are presented to build motion patterns and understand customer's behavior. Their evaluation across several datasets show promising results.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10