Call for Papers
ICIAP 2019 Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail EnvironmentsTrento - Italy - Sept 10th 2019
SCOPE - In retail environments, understanding consumer behaviour is of great importance and one of the keys to success for retailers. While the retail environment has several favourable characteristics that support computer vision, such as reasonable lighting, the large number and diversity of products sold, as well as the potential ambiguity of shoppers' movements, mean that accurately measuring shopper behaviour is still challenging. Over the past years, machine-learning and feature-based tools for people counting as well as interactions analytic and re-identification were developed with the aim of learning shopper skills. However, after moving into the era of multimedia big data, machine-learning approaches evolved into deep learning approaches, which are a more powerful and efficient way of dealing with the complexities of human behaviour. The goal of this workshop is to encourage and highlight novel strategies and original research in computer vision and patter recognition for shoppers’ behavior understanding, building a network between European universities and industries and a roadmap for future deep learning applications.
Topics
The workshop calls for submissions addressing, but not limited to, the following topics:
• Deep learning architectures for large scale shopper behaviour understanding
• Deep learning for shoppers' feature representation
• Deep learning for facial analysis
• Deep learning for object recognition
• Deep learning for scene understanding
• Deep learning for activity recognition
• Deep learning for semantic segmentation
• Deep learning for generative modeling
• Deep learning for biometrics
• Multi-modal deep learning
• Face detection and tracking from video
• Multi-face clustering from video
• Applications of video face recognition
• Automatic video annotation and summarization
• Context-aware machine learning and image understanding
• Dataset for Retail
• Edge/Fog/Cloud Architecture for Deep Learning Applications
• Other artificial intelligence methods on shopper behaviour analysis
Submissions & Important Dates
The submission and review process will be managed with the EasyChair system. DeepRetail2019 Submission Website
The length of the papers is maximum 8 pages. Papers will be selected by a single blind (reviewers are anonymous) review process based on their originality, relevance, and clarity of presentation.
Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires that at least one author is registered with regular registration fee and attending the workshop.
Templates and paper formatting instructions are available on the ICIAP 2019 web page.
Instructions and Templates
- Submission Deadline: June 19, 2019
- Notification of Acceptance: July 15, 2019
- Camera-ready Paper: July 21, 2019